Upload Date | October 29 2024 11:27 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X399 AORUS Gaming 7 |
Motherboard | Gigabyte Technology Co., Ltd. X399 AORUS Gaming 7 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen Threadripper 1950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
Base Frequency | 3.60 GHz |
Cluster 1 | 16 Cores |
L1 Instruction Cache | 64.0 KB x 16 |
L1 Data Cache | 32.0 KB x 16 |
L2 Cache | 512 KB x 16 |
L3 Cache | 8.00 MB x 4 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
639
119.5 IPS |
|
Image Classification (F16)
|
100% |
655
122.5 IPS |
|
Image Classification (I8)
|
97% |
1005
188.0 IPS |
|
Image Segmentation (F32)
|
100% |
564
9.43 IPS |
|
Image Segmentation (F16)
|
100% |
576
9.62 IPS |
|
Image Segmentation (I8)
|
97% |
1107
18.5 IPS |
|
Pose Estimation (F32)
|
100% |
5126
6.21 IPS |
|
Pose Estimation (F16)
|
100% |
5122
6.20 IPS |
|
Pose Estimation (I8)
|
100% |
4789
5.80 IPS |
|
Object Detection (F32)
|
100% |
767
57.3 IPS |
|
Object Detection (F16)
|
100% |
766
57.2 IPS |
|
Object Detection (I8)
|
60% |
600
44.8 IPS |
|
Face Detection (F32)
|
100% |
1573
18.7 IPS |
|
Face Detection (F16)
|
100% |
1573
18.7 IPS |
|
Face Detection (I8)
|
87% |
2008
23.9 IPS |
|
Depth Estimation (F32)
|
100% |
3956
30.7 IPS |
|
Depth Estimation (F16)
|
100% |
3634
28.2 IPS |
|
Depth Estimation (I8)
|
74% |
4624
35.9 IPS |
|
Style Transfer (F32)
|
100% |
9625
12.7 IPS |
|
Style Transfer (F16)
|
100% |
9833
12.9 IPS |
|
Style Transfer (I8)
|
85% |
9272
12.2 IPS |
|
Image Super-Resolution (F32)
|
100% |
1280
45.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
1270
45.4 IPS |
|
Image Super-Resolution (I8)
|
97% |
1409
50.3 IPS |
|
Text Classification (F32)
|
100% |
479
688.3 IPS |
|
Text Classification (F16)
|
100% |
442
634.8 IPS |
|
Text Classification (I8)
|
94% |
207
297.4 IPS |
|
Machine Translation (F32)
|
100% |
760
14.0 IPS |
|
Machine Translation (F16)
|
100% |
782
14.4 IPS |
|
Machine Translation (I8)
|
67% |
1055
19.4 IPS |