NVIDIA Quadro T2000 (Laptop) vs NVIDIA Quadro T1000 Max-Q

NVIDIA Quadro T2000 (Laptop)

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The Nvidia Quadro T2000 for laptops is a professional mobile graphics card that is based on the Turing architecture (TU117 chip). It is based on the consumer desktop GTX 1650 Ti with comparable clock speeds and therefore currently between a mobile GTX 1650 and GTX 1660 Ti. The chip is manufactured in 12nm FinFET at TSMC. 

The Turing generation did not only introduce raytracing for the RTX cards, but also optimized the architecture of the cores and caches. According to Nvidia the CUDA cores offer now a concurrent execution of floating point and integer operations for increased performance in compute-heavy workloads of modern games. Furthermore, the caches were reworked (new unified memory architecture with twice the cache compared to Pascal). This leads to up to 50% more instructions per clock and a 40% more power efficient usage compared to Pascal. In contrary to the faster Quadro RTX cards (e.g. Quadro RTX 3000), the T1000 and T2000 don not feature raytracing and Tensor cores.

NVIDIA Quadro T1000 Max-Q

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The Nvidia Quadro T1000 with Max-Q Design is a professional mobile graphics card that is based on the Turing architecture (TU117 chip). Compared to the consumer GTX 1650, the Quadro T1000 features less CUDA cores / shaders (768 versus 896). The chip is manufactured in 12nm FinFET at TSMC. Compared to the normal Quadro T1000, the Max-Q variants are clocked lower and work in a more efficient state. Currently, we know of two variants with different clock speeds and power consumptions (35 and 40 W).

ModelShaderTGP (W)Base (MHz)Boost (MHz)
Quadro T1000 Mobile7685013951455
Quadro T1000 Max-Q7684012301455
Quadro T1000 Max-Q768357951455
Quadro T2000 Mobile10246015751785
GeForce GTX 1650 Mobile8965013951560

The Quadro T1000 is a mobile graphics card that is based on the Turing architecture (TU116 chip). Compared to the faster RTX 2000 GPUs (e.g. RTX 2060), the T1000 integrates no Raytracing or Tensor cores. Due to the same boost clock as the mobile T1000, the Max-Q variants can perform similar with sufficient cooling.

The Turing generation did not only introduce raytracing for the RTX cards, but also optimized the architecture of the cores and caches. According to Nvidia the CUDA cores offer now a concurrent execution of floating point and integer operations for increased performance in compute-heavy workloads of modern games. Furthermore, the caches were reworked (new unified memory architecture with twice the cache compared to Pascal). This leads to up to 50% more instructions per clock and a 40% more power efficient usage compared to Pascal.

Thanks to the low power consumption, the Max-Q T2000 GPU can be used in thin and light laptops. The used TU116 chip is manufactured in 12nm FFN at TSMC.

NVIDIA Quadro T2000 (Laptop)NVIDIA Quadro T1000 Max-Q
ManufacturerNVIDIANVIDIA
Quadro Turing Series
Quadro RTX 6000 (Laptop) (compare) 4608 384 Bit @ 14000 MHz
Quadro RTX 5000 (Laptop) (compare) 3072 @ 1035 / 1350 - 1545 / 1770 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 5000 Max-Q (compare) 3072 @ 600 - 930 - 1350 - 1455 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 4000 (Laptop) (compare) 2560 @ 1110 - 1560 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 4000 Max-Q (compare) 2560 @ 780 - 960 - 1380 - 1485 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 3000 (Laptop) (compare) 1920 @ 945 - 1380 (Boost) MHz192 Bit @ 14000 MHz
Quadro RTX 3000 Max-Q (compare) 1920 @ 600 - 870 - 1215 - 1380 (Boost) MHz192 Bit @ 14000 MHz
Quadro T2000 (Laptop) 1024 @ 1575 - 1785 (Boost) MHz128 Bit @ 8000 MHz
Quadro T2000 Max-Q (compare) 1024 @ 930 / 1200 - 1500 / 1620 (Boost) MHz128 Bit @ 8000 MHz
Quadro T1000 (Laptop) (compare) 768 @ 1395 - 1455 (Boost) MHz128 Bit @ 8000 MHz
Quadro T1000 Max-Q 768 @ 795 / 1230 - 1455 (Boost) MHz128 Bit @ 8000 MHz
Quadro RTX 6000 (Laptop) (compare) 4608 384 Bit @ 14000 MHz
Quadro RTX 5000 (Laptop) (compare) 3072 @ 1035 / 1350 - 1545 / 1770 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 5000 Max-Q (compare) 3072 @ 600 - 930 - 1350 - 1455 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 4000 (Laptop) (compare) 2560 @ 1110 - 1560 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 4000 Max-Q (compare) 2560 @ 780 - 960 - 1380 - 1485 (Boost) MHz256 Bit @ 14000 MHz
Quadro RTX 3000 (Laptop) (compare) 1920 @ 945 - 1380 (Boost) MHz192 Bit @ 14000 MHz
Quadro RTX 3000 Max-Q (compare) 1920 @ 600 - 870 - 1215 - 1380 (Boost) MHz192 Bit @ 14000 MHz
Quadro T2000 (Laptop) 1024 @ 1575 - 1785 (Boost) MHz128 Bit @ 8000 MHz
Quadro T2000 Max-Q (compare) 1024 @ 930 / 1200 - 1500 / 1620 (Boost) MHz128 Bit @ 8000 MHz
Quadro T1000 (Laptop) (compare) 768 @ 1395 - 1455 (Boost) MHz128 Bit @ 8000 MHz
Quadro T1000 Max-Q 768 @ 795 / 1230 - 1455 (Boost) MHz128 Bit @ 8000 MHz
CodenameN19P-Q3N19P-Q1
ArchitectureTuringTuring
1024 - 768 -
Core1575 - 1785 (Boost) MHz795 / 1230 - 1455 (Boost) MHz
Memory8000 MHz8000 MHz
Bus128 Bit128 Bit
MemoryGDDR5GDDR5
Max. Memory4096 MB4096 MB
nono
DirectXDirectX 12_1DirectX 12_1
Transistors4700 Million
Technology12 nm12 nm
Size
Introduced27.05.2019 27.05.2019

3DMark 11 - Performance 1280x720
13392 points (38%)
3DMark 11 - Performance GPU 1280x720
13677 points (27%)
SPECviewperf 12
Solidworks (sw-03) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
Siemens NX (snx-02) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
Showcase (showcase-01) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
Maya (maya-04) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
Creo (creo-01) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
Catia (catia-04) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
3ds Max (3dsmax-05) 1900x1060 + NVIDIA Quadro T2000 (Laptop)
SPECviewperf 13 Solidworks (sw-04) + NVIDIA Quadro T2000 (Laptop)
Siemens NX (snx-03) + NVIDIA Quadro T2000 (Laptop)
Showcase (showcase-02) + NVIDIA Quadro T2000 (Laptop)
Maya (maya-05) + NVIDIA Quadro T2000 (Laptop)
Creo (creo-02) + NVIDIA Quadro T2000 (Laptop)
Catia (catia-05) + NVIDIA Quadro T2000 (Laptop)
3ds Max (3dsmax-06) + NVIDIA Quadro T2000 (Laptop)
Cinebench R15
OpenGL 64Bit + NVIDIA Quadro T2000 (Laptop)

Average Benchmarks NVIDIA Quadro T2000 (Laptop) → 100%

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* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation

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Redaktion, 2017-09- 8 (Update: 2017-09-11)