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Apple M1 Max vs Google Tensor vs Apple M2 Max

Apple M1 Max

► remove from comparison Apple M1 Max

The Apple M1 Max is a System on a Chip (SoC) from Apple that is found in the late 2021 MacBook Pro 14 and 16-inch models. It offers all 10 cores available in the chip divided in eight performance cores (P-cores with 600 - 3220 MHz) and two power-efficiency cores (E-cores with 600 - 2064 MHz). There is no Turbo Boost for single cores or short burst periods. The cores are similar to the cores in the Apple M1.

The big cores (codename Firestorm) offer 192 KB instruction cache, 128 KB data cache, and 24 MB shared L2 cache (up from 12 MB in the M1). The four efficiency cores (codename Icestorm) are a lot smaller and offer only 128 KB instruction cache, 64 KB data cache, and 4 MB shared cache. CPU and GPU can both use the 48 MB SLC (System Level Cache). The efficiency cores (E cluster) clock with 600 - 2064 MHz, the performance cores (P cluster) with 600 - 3228 MHz.

The unified memory (32 or 64 GB LPDDR5-6400) next to the chip is connected by a 512 bit memory controller (200 GB/s bandwidth) and can be used by the GPU and CPU. This is the main difference to the M1 Pro and the CPU performance is quite similar.

The biggest difference to the M1 Pro is the bigger integrated GPU with 24 or 32 cores (up from 16).

Furthermore, the SoC integrates a fast 16 core neural engine, a secure enclave (e.g., for encryption), a unified memory architecture, Thunderbolt 4 controller, an ISP, and media de- and encoders (including two ProRes engines).

The M1 Pro is manufactured in 5 nm at TSMC and integrates 57 billion transistors. The peak power consumption of the chip was advertised around 30W for CPU intensive tasks. 

Google Tensor

► remove from comparison Google Tensor

The Google Tensor SoC (G1, first generation) is the first smartphone processor from Google. It is positioned as a high end SoC and focuses on the integrated TPU for efficient AI and ML calculations. The CPU part integrates two fast and big ARM Cortex X1 cores at up to 2.8 GHz. A second cluster integrates 2 mid range Cortex-A76 cores at up to 2.25 GHz. Finally, four small ARM Cortex-A55 cores with up to 1.8 GHz are integrated for efficiency purposes. All cores can access the shared 4 MB L3 cache. 

The successors of the Tensor SoC are the Tensor G2 and G3.

The chip also integrates a Titan M2 security processor and a ARM Mali G78 MP20 GPU. The chip is manufactured in the modern 5nm process.

Apple M2 Max

► remove from comparison Apple M2 Max

The Apple M2 Max is a System on a Chip (SoC) from Apple that is found in the early 2023 MacBook Pro 14 and 16-inch models. It offers all 12 CPU cores available in the chip divided in eight performance cores (P-cores) and four power-efficiency cores (E-cores). The E-cores clock with up to 3.4 GHz, the P-Cores up to 3.7 GHz (mostly 3.3 GHz in multi-threaded workloads and 3.4 GHz in single threaded).

The big cores (codename Avalanche) offer 192 KB instruction cache, 128 KB data cache, and 36 MB shared L2 cache (up from 24 MB in the M1 Pro). The four efficiency cores (codename Blizzard) are a lot smaller and offer only 128 KB instruction cache, 64 KB data cache, and 4 MB shared cache. CPU and GPU can both use the 49 MB SLC (System Level Cache). 

The unified memory (32, 64, or 96 GB LPDDR5-6400) next to the chip is connected by a 512 Bit memory controller (400 GB/s bandwidth) and can be used by the GPU and CPU.

The CPU performance should be quite similar to the M2 Pro as only the higher memory bandwidth and bigger L3 cache could make a difference for some workloads.

The integrated graphics card in the M1 Max offers a 30-core GPU or a GPU with all 38 cores.

Furthermore, the SoC integrates a fast 16 core neural engine (faster than M1 Max), a secure enclave (e.g., for encryption), a unified memory architecture, Thunderbolt 4 controller, an ISP, and media de- and encoders (including ProRes).

The M2 Max is manufactured in 5 nm at TSMC (second generation) and integrates 40 billion transistors. The power consumption of the CPU part is up to 36 Watt according to powermetrics. When fully loading the CPU and GPU cores, the chip uses up to 89 Watt and the CPU part is limited to 25 Watt.

ModelApple M1 MaxGoogle TensorApple M2 Max
SeriesApple M1Apple M2
Series: M2
Apple M1 Max « 2.06 - 3.22 GHz10 / 10 cores48 MB L3
Apple M1 Pro2.06 - 3.22 GHz10 / 10 cores24 MB L3
Apple M1 Pro 8-Core2.06 - 3.22 GHz8 / 8 cores16 MB L3
Apple M12.06 - 3.22 GHz8 / 8 cores8 MB L3
Apple M2 Max « 2.42 - 3.7 GHz12 / 12 cores48 MB L3
Apple M2 Pro2.42 - 3.5 GHz12 / 12 cores24 MB L3
Apple M2 Pro 10-Core2.42 - 3.7 GHz10 / 10 cores24 MB L3
Apple M22.42 - 3.48 GHz8 / 8 cores8 MB L3
Clock2060 - 3220 MHz1800 - 2800 MHz2424 - 3696 MHz
L1 Cache2.9 MB3.3 MB
L2 Cache28 MB36 MB
L3 Cache48 MB4 MB48 MB
Cores / Threads10 / 108 / 812 / 12
Transistors57000 Million67000 Million
Technology5 nm5 nm5 nm
FeaturesARMv8 Instruction SetARM Mali-G78MP20 GPUARMv8 Instruction Set
iGPUApple M1 Max 32-Core GPUARM Mali-G78 MP20 ( - 848 MHz)Apple M2 Max 38-Core GPU
ArchitectureARMARMARM
Announced
CodenameExynos X1 / Cortex-A76 / A55
Manufacturerblog.google
TDP79 Watt

Benchmarks

Cinebench R23 - Cinebench R23 Multi Core
100%
1 M1 Max +
min: 12385     avg: 12389     median: 12386 (12%)     max: 12396 Points
119%
1 M2 Max +
min: 14738     avg: 14753     median: 14752.5 (14%)     max: 14767 Points
Cinebench R23 - Cinebench R23 Single Core
100%
1 M1 Max +
min: 1530     avg: 1533     median: 1533 (64%)     max: 1536 Points
107%
1 M2 Max +
min: 1625     avg: 1644     median: 1643.5 (69%)     max: 1662 Points
Cinebench R20 - Cinebench R20 CPU (Single Core)
100%
1 M1 Max +
min: 390     avg: 393.3     median: 395 (43%)     max: 395 Points
115%
1 M2 Max +
min: 451     avg: 455.5     median: 455.5 (50%)     max: 460 Points
Cinebench R20 - Cinebench R20 CPU (Multi Core)
100%
1 M1 Max +
min: 2735     avg: 2746     median: 2750 (7%)     max: 2753 Points
148%
1 M2 Max +
min: 4044     avg: 4065     median: 4064.5 (10%)     max: 4085 Points
Cinebench R15 - Cinebench R15 CPU Multi 64 Bit
100%
1 M1 Max +
min: 1689     avg: 1691     median: 1691 (11%)     max: 1693 Points
123%
1 M2 Max +
min: 2074     avg: 2084     median: 2084 (13%)     max: 2094 Points
Cinebench R15 - Cinebench R15 CPU Single 64 Bit
100%
1 M1 Max +
min: 197     avg: 202.3     median: 200 (55%)     max: 210 Points
118%
1 M2 Max +
min: 233     avg: 236     median: 236 (65%)     max: 239 Points
Blender - Blender 3.3 Classroom CPU *
100%
1 M2 Max +
326 Seconds (4%)
Blender - Blender 2.79 BMW27 CPU *
100%
1 M1 Max +
min: 187     avg: 188.7     median: 189 (1%)     max: 190 Seconds
57%
1 M2 Max +
333 Seconds (2%)
3DMark - 3DMark Sling Shot Extreme (ES 3.1) Unlimited Physics
100%
1 Tensor +
min: 3643     avg: 3946     median: 3919 (37%)     max: 4277 Points
3DMark - 3DMark Sling Shot (ES 3.0) Unlimited Physics
100%
1 Tensor +
min: 3393     avg: 4014     median: 4147 (47%)     max: 4501 Points
Geekbench 6.4 - Geekbench 6.4 Single-Core
100%
1 M1 Max +
2442 Points (61%)
110%
1 M2 Max +
2692 Points (67%)
Geekbench 6.4 - Geekbench 6.4 Multi-Core
100%
1 M1 Max +
12994 Points (50%)
114%
1 M2 Max +
14863 Points (58%)
Geekbench 6.0 - Geekbench 6.0 Single-Core
100%
1 M1 Max +
2319 Points (74%)
122%
1 M2 Max +
2821 Points (90%)
Geekbench 6.0 - Geekbench 6.0 Multi-Core
100%
1 M1 Max +
12456 Points (51%)
118%
1 M2 Max +
14677 Points (60%)
Geekbench 5.5 - Geekbench 5.1 - 5.5 64 Bit Single-Core
min: 1764     avg: 1785     median: 1788.5 (70%)     max: 1798 Points
min: 1025     avg: 1041     median: 1041 (41%)     max: 1057 Points
min: 1965     avg: 1970     median: 1967 (77%)     max: 1978 Points
Geekbench 5.5 - Geekbench 5.1 - 5.5 64 Bit Multi-Core
min: 12563     avg: 12697     median: 12702.5 (23%)     max: 12818 Points
min: 2805     avg: 2895     median: 2940 (5%)     max: 2941 Points
min: 15348     avg: 15388     median: 15373 (28%)     max: 15444 Points
Geekbench 4.4 - Geekbench 4.1 - 4.4 64 Bit Single-Core
100%
1 Tensor +
4815 Points (48%)
Geekbench 4.4 - Geekbench 4.1 - 4.4 64 Bit Multi-Core
100%
1 Tensor +
11589 Points (12%)
Geekbench 4.0 - Geekbench 4.0 64 Bit Single-Core
100%
1 Tensor +
4608 Points (51%)
Geekbench 4.0 - Geekbench 4.0 64 Bit Multi-Core
100%
1 Tensor +
11058 Points (15%)
Geekbench 3 - Geekbench 3 64 Bit Multi-Core
100%
1 Tensor +
9830 Points (15%)
Geekbench 3 - Geekbench 3 64 Bit Single-Core
100%
1 Tensor +
3264 Points (49%)
Mozilla Kraken 1.1 - Kraken 1.1 Total Score *
min: 404.3     avg: 459.2     median: 482.3 (1%)     max: 491.1 ms
min: 915     avg: 1160     median: 1034 (1%)     max: 1531.6 ms
min: 430.2     avg: 437.2     median: 437.2 (1%)     max: 444.2 ms
Octane V2 - Octane V2 Total Score
min: 66938     avg: 68647     median: 68029 (50%)     max: 70973 Points
min: 33046     avg: 40152     median: 43376 (32%)     max: 44034 Points
min: 76610     avg: 77676     median: 77676 (57%)     max: 78742 Points
WebXPRT 4 - WebXPRT 4 Score
100%
1 Tensor +
72 Points (20%)
360%
1 M2 Max +
min: 258     avg: 259     median: 259 (71%)     max: 260 Points
WebXPRT 3 - WebXPRT 3 Score
min: 350     avg: 358.7     median: 360 (65%)     max: 366 Points
min: 77     avg: 97.3     median: 105 (19%)     max: 110 Points
min: 402     avg: 404.5     median: 404.5 (73%)     max: 407 Points
AnTuTu v8 - AnTuTu v8 UX
100%
1 Tensor +
80242 Points (67%)
AnTuTu v8 - AnTuTu v8 MEM
100%
1 Tensor +
91046 Points (73%)
AnTuTu v8 - AnTuTu v8 GPU
100%
1 Tensor +
266666 Points (49%)
AnTuTu v8 - AnTuTu v8 CPU
100%
1 Tensor +
173530 Points (63%)
AnTuTu v8 - AnTuTu v8 Total Score
100%
1 Tensor +
611484 Points (59%)
Antutu v9 - AnTuTu v9 Total Score
100%
1 Tensor +
min: 702981     avg: 713075     median: 715338 (35%)     max: 720905 Points
Antutu v9 - AnTuTu v9 CPU
100%
1 Tensor +
min: 179373     avg: 186798     median: 189382 (47%)     max: 191638 Points
PCMark for Android - PCM f. Android Storage 2.0 score
100%
1 Tensor +
min: 17485     avg: 22609     median: 22608.5 (10%)     max: 27732 Points
PCMark for Android - PCM f. Android Work Score 3.0
100%
1 Tensor +
min: 9717     avg: 10577     median: 10409 (38%)     max: 11605 Points
CrossMark - CrossMark Overall
min: 1586     avg: 1607     median: 1615 (60%)     max: 1621 Points
min: 849     avg: 873     median: 865 (32%)     max: 906 Points
min: 1759     avg: 1835     median: 1834.5 (69%)     max: 1910 Points
Power Consumption - Prime95 Power Consumption - external Monitor *
100%
1 M1 Max +
50.8 Watt (9%)
Power Consumption - Cinebench R15 Multi Power Consumption - external Monitor *
100%
1 M1 Max +
53 Watt (10%)
73%
1 M2 Max +
72.8 Watt (13%)
Power Consumption - Geekbench 5.5 Power Consumption 150cd *
100%
1 Tensor +
min: 5.28     avg: 5.4     median: 5.4 (2%)     max: 5.64 Watt
Power Consumption - Idle Power Consumption - external Monitor *
100%
1 M1 Max +
11.6 Watt (8%)
126%
1 M2 Max +
9.2 Watt (6%)
Power Consumption - Idle Power Consumption 150cd 1min *
100%
1 Tensor +
min: 0.758     avg: 0.9     median: 0.8 (1%)     max: 1.013 Watt
Power Consumption - Power Efficiency - Cinebench R15 Multi external Monitor
100%
1 M1 Max +
31.9 Points per Watt (24%)
89%
1 M2 Max +
28.5 Points per Watt (21%)

Average Benchmarks Apple M1 Max → 100% n=6

Average Benchmarks Google Tensor → 46% n=6

Average Benchmarks Apple M2 Max → 114% n=6

- Range of benchmark values for this graphics card
red legend - Average benchmark values for this graphics card
* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation

v1.33
log 07. 02:26:50

#0 ran 0s before starting gpusingle class +0s ... 0s

#1 checking url part for id 13843 +0s ... 0s

#2 checking url part for id 14022 +0s ... 0s

#3 checking url part for id 14975 +0s ... 0s

#4 redirected to Ajax server, took 1754526410s time from redirect:0 +0s ... 0s

#5 did not recreate cache, as it is less than 5 days old! Created at Wed, 06 Aug 2025 11:23:17 +0200 +0s ... 0s

#6 composed specs +0.006s ... 0.007s

#7 did output specs +0s ... 0.007s

#8 getting avg benchmarks for device 13843 +0.001s ... 0.007s

#9 got single benchmarks 13843 +0.006s ... 0.014s

#10 getting avg benchmarks for device 14022 +0.001s ... 0.014s

#11 got single benchmarks 14022 +0.005s ... 0.02s

#12 getting avg benchmarks for device 14975 +0.001s ... 0.02s

#13 got single benchmarks 14975 +0.005s ... 0.025s

#14 got avg benchmarks for devices +0s ... 0.025s

#15 min, max, avg, median took s +0.023s ... 0.049s

#16 return log +0s ... 0.049s

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> Expert Reviews and News on Laptops, Smartphones and Tech Innovations > Benchmarks / Tech > Processor Comparison - Head 2 Head
Redaktion, 2017-09- 8 (Update: 2023-07- 1)