GPU 2017 Benchmarks

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Browse GPU17 Benchmarks

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GPU17 Product Benchmarks

Bench Results

  NVIDIA Titan V

  NVIDIA Titan Xp

Product Ratings & Comparisons

Compute: General Matrix Multiply Single Precision (SGEMM)
GFLOPS - Higher is Better
13429
10879
Compute: General Matrix Multiply Double Precision (DGEMM)
GFLOPS - Higher is Better
6777
418
Compute: General Matrix Multiply Half Precision (HGEMM)
GFLOPS - Higher is Better
26463
218
Compute: Folding @ Home Double Precision
Nanoseconds per Day - Higher is Better
75.4
14.6
Compute: SPECviewperf 12.1 - 3dsmax-05 Composite
Frames per Second - Higher is Better
176.3
100.3
Synthetic: Beyond3D Suite - ALU Latency via Multiply-Adds (MADD)
Nanoseconds per MADD - Lower is Better
2.35
3.3
Synthetic: 3DMark Fire Strike Ultra (4K) - Graphics Score
Score - Higher is Better
7679
7132
Synthetic: 3DMark Fire Strike Ultra (4K) - Graphics Test 1
Frames per Second - Higher is Better
46.84
39.3
Synthetic: 3DMark Fire Strike Ultra (4K) - Graphics Test 2
Frames per Second - Higher is Better
25.94
25.6
Compute: SiSoftware Sandra 2017 - GP Processing Double Precision (OpenCL)
GigaPixels per Second - Higher is Better
10.69
0.72
Compute: SiSoftware Sandra 2017 - GP Processing Single Precision (OpenCL)
GigaPixels per Second - Higher is Better
21
17.28
Compute: SiSoftware Sandra 2017 - GP Processing Half Precision (OpenCL)
GigaPixels per Second - Higher is Better
21
17
Compute: SiSoftware Sandra 2017 - GP Processing Single Precision (Compute Shader)
GigaPixels per Second - Higher is Better
25.25
18.43
Compute: SiSoftware Sandra 2017 - GP Processing Half Precision (Compute Shader)
GigaPixels per Second - Higher is Better
24.22
16.12
Compute: SiSoftware Sandra 2017 - GP Financial Analysis Double Precision (OpenCL)
MOPT per Second - Higher is Better
2.81
0.21
Compute: SiSoftware Sandra 2017 - GP Financial Analysis Single Precision (OpenCL)
MOPT per Second - Higher is Better
7
4.12
Compute: SiSoftware Sandra 2017 - GP Financial Analysis Single Precision (Compute Shader)
MOPT per Second - Higher is Better
4.3
2.49
Compute: SiSoftware Sandra 2017 - Video Shader Compute Double Precision (DX11)
GigaPixels per Second - Higher is Better
6.08
0.45
Compute: SiSoftware Sandra 2017 - Video Shader Compute Single Precision (DX11)
GigaPixels per Second - Higher is Better
12.7
11.61
Compute: SiSoftware Sandra 2017 - Video Shader Compute Half Precision (DX11)
GigaPixels per Second - Higher is Better
12.9
11.7
Compute: SiSoftware Sandra 2017 - GP Processing Double Precision (Compute Shader)
GigaPixels per Second - Higher is Better
7.74
0.22
Crysis: Warhead (DX10) - 3840x2160 - Enthusiast Quality, 4xSSAA
Frames per Second - Higher is Better
62
50.1
DL Inference: DeepBench - GEMM (DeepSpeech)
TFLOPS or TOPS - Higher is Better
7.57
6.34
DL Training: DeepBench - GEMM (Language Modelling)
TFLOPS - Higher is Better
3.08
1.26
DL Inference: DeepBench - Sparse GEMM
TFLOPS - Higher is Better
2.94
2.94
DL Training: DeepBench - GEMM (DeepSpeech)
TFLOPS - Higher is Better
8.71
7.18
DL Inference: DeepBench - GEMM (DeepSpeech, GRU Affine)
TFLOPS or TOPS - Higher is Better
12.1
10.6
DL Training: DeepBench - GEMM (Speaker ID)
TFLOPS - Higher is Better
7.74
8.91
DL Training: DeepBench - Convolutions (Speaker ID)
TFLOPS - Higher is Better
16.02
12.9
DL Training: DeepBench - Convolutions
TFLOPS - Higher is Better
8.89
7.74
DL Training: DeepBench - Convolutions (Vision)
TFLOPS - Higher is Better
13.22
11.2
DL Inference: DeepBench - GEMM (Language Modelling)
TFLOPS or TOPS - Higher is Better
0.7
0.29
DL Training: DeepBench - Convolutions (Resnet)
TFLOPS - Higher is Better
6.52
5.64
DL Training: DeepBench - RNN (Vanilla)
TFLOPS - Higher is Better
4.36
3.82
DL Inference: DeepBench - GEMM (DeepSpeech, Output Layer)
TFLOPS or TOPS - Higher is Better
7.43
5.65
DL Inference: DeepBench - GEMM
TFLOPS or TOPS - Higher is Better
7
5.97
DL Inference: DeepBench - RNN (LSTM)
TFLOPS - Higher is Better
0.27
0.21
DL Inference: DeepBench - Convolutions (Resnet)
TFLOPS or TOPS - Higher is Better
2.78
2.66
DL Inference: DeepBench - Convolutions (Vision)
TFLOPS or TOPS - Higher is Better
3.92
4.76
DL Inference: DeepBench - Convolutions (DeepSpeech)
TFLOPS or TOPS - Higher is Better
5.74
4.31
DL Inference: DeepBench - Convolutions
TFLOPS or TOPS - Higher is Better
3.86
4.52
DL Inference: DeepBench - RNN (GRU)
TFLOPS - Higher is Better
0.55
0.41
DL Training: DeepBench - RNN (LSTM)
TFLOPS - Higher is Better
4.3
3.39
DL Training: DeepBench - RNN (GRU)
TFLOPS - Higher is Better
5.54
4.98
DL Training: DLBS Caffe2 - ResNet50 and ImageNet Throughput
Images per Second - Higher is Better
236
213
DL Inference: DLBS Caffe2 - ResNet50 and ImageNet Throughput
Images per Second - Higher is Better
841
718
DL Inference: DLBS TensorRT- ResNet50 and ImageNet Throughput
Images per Second - Higher is Better
1465
1305
DL Training: DAWNBench CIFAR10 - KervResNet34 Training Time
Time to 94% Accuracy in Minutes - Lower is Better
25.37
31.4
DL Training: DAWNBench CIFAR10 - KervResNet34 Training Cost
kWh - Lower is Better
0.12
0.19
DL Training: DAWNBench CIFAR10 - Basenet (ResNet18) Time to 94% Accuracy
Minutes:Seconds - Lower is Better
5.98
11.78
DL Training: DAWNBench CIFAR10 - Basenet (ResNet18) Training Cost
kWh - Lower is Better
0.02
0.07
DL Training: DeepBench - GEMM
TFLOPS - Higher is Better
8.42
6.91
Battlefield 1 - 3840x2160 - Ultra Quality
Frames per Second - Higher is Better
96
83.6
Battlefield 1 - 99th Percentile - 3840x2160 - Ultra Quality
Frames per Second at the 99th Percentile - Higher is Better
69
69
Ashes of the Singularity: Escalation - 3840x2160 - Extreme Quality
Frames per Second - Higher is Better
88.5
80.9
Ashes of the Singularity: Escalation - 99th Percentile - 3840x2160 - Extreme Quality
Frames per Second at the 99th Percentile - Higher is Better
50
46
Doom - 3840x2160 - Ultra Quality
Frames per Second - Higher is Better
127.7
94.4
Doom - 99th Percentile - 3840x2160 - Ultra Quality
Frames per Second at the 99th Percentile - Higher is Better
67.1
69.8
Ghost Recon Wildlands - 3840x2160 - Very High Quality
Frames per Second - Higher is Better
59.2
55.5
Deus Ex: Mankind Divided - 3840x2160 - Ultra Quality
Frames per Second - Higher is Better
49.7
41
Grand Theft Auto V - 3840x2160 - Very High Quality
Frames per Second - Higher is Better
62.8
58.4
Grand Theft Auto V - 99th Percentile - 3840x2160 - Very High Quality
Frames per Second at the 99th Percentile - Higher is Better
22.7
33.3
Total War: Warhammer - 3840x2160 - Ultra Quality
Frames per Second - Higher is Better
79.3
70
Compute: CompuBench 2.0 - Level Set Segmentation 256
MegaVoxels per Second - Higher is Better
16974
16858
Compute: CompuBench 2.0 - N-Body Simulation 1024K
Iterations per Second - Higher is Better
127.7
84.7
Compute: CompuBench 2.0 - Optical Flow
MegaPixels per Second - Higher is Better
104.2
68.8
Compute: Folding @ Home Single Precision
Nanoseconds per Day - Higher is Better
122.1
125.8
Compute: Geekbench 4 - GPU Compute - Total Score
Points - Higher is Better
509384
243066
Synthetic: TessMark, Image Set 4, 64x Tessellation
Frames per Second - Higher is Better
703
604
Synthetic: Beyond3D Suite - Pixel Fillrate
GigaPixels per Second - Higher is Better
129.8
109.9
Synthetic: Beyond3D Suite - Integer Texture Fillrate (INT8)
GigaTexels per Second - Higher is Better
490.7
283.2
Synthetic: Beyond3D Suite - Floating Point Texture Fillrate (FP32)
GigaTexels per Second - Higher is Better
138
111.5
Idle Power Consumption
Total System Power Consumption in Watts - Lower is Better
96
82
Load Power Consumption - Battlefield 1
Total System Power Consumption in Watts - Lower is Better
381
419
Load Power Consumption - FurMark
Total System Power Consumption in Watts - Lower is Better
350
375
Idle GPU Temperature
Temperature in Celsius - Lower is Better
36
30
Load GPU Temperature - Battlefield 1
Temperature in Celsius - Lower is Better
83
82
Load GPU Temperature - FurMark
Temperature in Celsius - Lower is Better
84
80
Idle Noise Levels
Noise In dB(A) - Lower is Better
39.6
39.4
Load Noise Levels - Battlefield 1
Noise In dB(A) - Lower is Better
49.5
49.8
Load Noise Levels - FurMark
Noise In dB(A) - Lower is Better
50.5
50

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