| User | domdtxdissar |
| Upload Date | September 19 2024 07:49 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1899
353.1 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
99% |
4990
930.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3622
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9946
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7585
8.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
42578
49.9 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
88% |
2273
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
6545
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9566
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2643
20.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12365
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22145
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20979
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48732
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
697
931.0 IPS |
|
|
Text Classification (Q)
|
97% |
506
677.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3313
73.9 IPS |