NVIDIA GeForce RTX 2080 Super Max-Q vs NVIDIA Tesla V100 SXM2 16 GB
Comparative analysis of NVIDIA GeForce RTX 2080 Super Max-Q and NVIDIA Tesla V100 SXM2 16 GB videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory. Benchmark videocards performance analysis: PassMark - G3D Mark, PassMark - G2D Mark, Geekbench - OpenCL, GFXBench 4.0 - Car Chase Offscreen (Frames), GFXBench 4.0 - Manhattan (Frames), GFXBench 4.0 - T-Rex (Frames), GFXBench 4.0 - Car Chase Offscreen (Fps), GFXBench 4.0 - Manhattan (Fps), GFXBench 4.0 - T-Rex (Fps), 3DMark Fire Strike - Graphics Score, CompuBench 1.5 Desktop - Face Detection (mPixels/s), CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s), CompuBench 1.5 Desktop - T-Rex (Frames/s), CompuBench 1.5 Desktop - Video Composition (Frames/s), CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s).
Differences
Reasons to consider the NVIDIA GeForce RTX 2080 Super Max-Q
- Videocard is newer: launch date 2 year(s) 9 month(s) later
- 473.1x more texture fill rate: 207.4 GTexel/s vs 438.4 GTexel / s
- 3.1x lower typical power consumption: 80 Watt vs 250 Watt
- Around 42% better performance in PassMark - G2D Mark: 578 vs 406
- Around 25% better performance in GFXBench 4.0 - Car Chase Offscreen (Frames): 20344 vs 16337
- 2.4x better performance in GFXBench 4.0 - Manhattan (Frames): 8912 vs 3719
- Around 25% better performance in GFXBench 4.0 - Car Chase Offscreen (Fps): 20344 vs 16337
- 2.4x better performance in GFXBench 4.0 - Manhattan (Fps): 8912 vs 3719
Specifications (specs) | |
Launch date | 2 Apr 2020 vs 21 June 2017 |
Texture fill rate | 207.4 GTexel/s vs 438.4 GTexel / s |
Thermal Design Power (TDP) | 80 Watt vs 250 Watt |
Benchmarks | |
PassMark - G2D Mark | 578 vs 406 |
GFXBench 4.0 - Car Chase Offscreen (Frames) | 20344 vs 16337 |
GFXBench 4.0 - Manhattan (Frames) | 8912 vs 3719 |
GFXBench 4.0 - Car Chase Offscreen (Fps) | 20344 vs 16337 |
GFXBench 4.0 - Manhattan (Fps) | 8912 vs 3719 |
Reasons to consider the NVIDIA Tesla V100 SXM2 16 GB
- Around 79% higher core clock speed: 1312 MHz vs 735 MHz
- Around 42% higher boost clock speed: 1530 MHz vs 1080 MHz
- Around 67% higher pipelines: 5120 vs 3072
- 2x more maximum memory size: 16 GB vs 8 GB
- Around 27% higher memory clock speed: 1752 MHz vs 1375 MHz (11000 MHz effective)
- Around 17% better performance in PassMark - G3D Mark: 16235 vs 13828
- Around 85% better performance in Geekbench - OpenCL: 173853 vs 93962
Specifications (specs) | |
Core clock speed | 1312 MHz vs 735 MHz |
Boost clock speed | 1530 MHz vs 1080 MHz |
Pipelines | 5120 vs 3072 |
Maximum memory size | 16 GB vs 8 GB |
Memory clock speed | 1752 MHz vs 1375 MHz (11000 MHz effective) |
Benchmarks | |
PassMark - G3D Mark | 16235 vs 13828 |
Geekbench - OpenCL | 173853 vs 93962 |
GFXBench 4.0 - T-Rex (Frames) | 3360 vs 3355 |
GFXBench 4.0 - T-Rex (Fps) | 3360 vs 3355 |
Compare benchmarks
GPU 1: NVIDIA GeForce RTX 2080 Super Max-Q
GPU 2: NVIDIA Tesla V100 SXM2 16 GB
PassMark - G3D Mark |
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PassMark - G2D Mark |
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Geekbench - OpenCL |
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GFXBench 4.0 - Car Chase Offscreen (Frames) |
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GFXBench 4.0 - Manhattan (Frames) |
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GFXBench 4.0 - T-Rex (Frames) |
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GFXBench 4.0 - Car Chase Offscreen (Fps) |
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GFXBench 4.0 - Manhattan (Fps) |
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GFXBench 4.0 - T-Rex (Fps) |
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Name | NVIDIA GeForce RTX 2080 Super Max-Q | NVIDIA Tesla V100 SXM2 16 GB |
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PassMark - G3D Mark | 13828 | 16235 |
PassMark - G2D Mark | 578 | 406 |
Geekbench - OpenCL | 93962 | 173853 |
GFXBench 4.0 - Car Chase Offscreen (Frames) | 20344 | 16337 |
GFXBench 4.0 - Manhattan (Frames) | 8912 | 3719 |
GFXBench 4.0 - T-Rex (Frames) | 3355 | 3360 |
GFXBench 4.0 - Car Chase Offscreen (Fps) | 20344 | 16337 |
GFXBench 4.0 - Manhattan (Fps) | 8912 | 3719 |
GFXBench 4.0 - T-Rex (Fps) | 3355 | 3360 |
3DMark Fire Strike - Graphics Score | 8567 | |
CompuBench 1.5 Desktop - Face Detection (mPixels/s) | 500.053 | |
CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s) | 7209.392 | |
CompuBench 1.5 Desktop - T-Rex (Frames/s) | 41.826 | |
CompuBench 1.5 Desktop - Video Composition (Frames/s) | 73.167 | |
CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s) | 1253.829 |
Compare specifications (specs)
NVIDIA GeForce RTX 2080 Super Max-Q | NVIDIA Tesla V100 SXM2 16 GB | |
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Essentials |
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Architecture | Turing | Volta |
Code name | TU104B | GV100 |
Launch date | 2 Apr 2020 | 21 June 2017 |
Place in performance rating | 139 | 142 |
Type | Laptop | Workstation |
Technical info |
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Boost clock speed | 1080 MHz | 1530 MHz |
Core clock speed | 735 MHz | 1312 MHz |
Manufacturing process technology | 12 nm | 12 nm |
Peak Double Precision (FP64) Performance | 207.4 GFLOPS (1:32) | |
Peak Half Precision (FP16) Performance | 13.27 TFLOPS (2:1) | |
Peak Single Precision (FP32) Performance | 6.636 TFLOPS | |
Pipelines | 3072 | 5120 |
Pixel fill rate | 69.12 GPixel/s | |
Texture fill rate | 207.4 GTexel/s | 438.4 GTexel / s |
Thermal Design Power (TDP) | 80 Watt | 250 Watt |
Transistor count | 13600 million | 21,100 million |
Floating-point performance | 14,029 gflops | |
Video outputs and ports |
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Display Connectors | No outputs | No outputs |
Compatibility, dimensions and requirements |
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Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
Supplementary power connectors | None | None |
Width | Dual-slot | |
API support |
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DirectX | 12.1 | 12.0 (12_1) |
OpenCL | 1.2 | |
OpenGL | 4.6 | 4.6 |
Shader Model | 6.5 | |
Vulkan | ||
Memory |
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Maximum RAM amount | 8 GB | 16 GB |
Memory bandwidth | 352.0 GB/s | 897.0 GB / s |
Memory bus width | 256 bit | 4096 Bit |
Memory clock speed | 1375 MHz (11000 MHz effective) | 1752 MHz |
Memory type | GDDR6 | HBM2 |