| User | ronbesy65 |
| Upload Date | October 02 2024 08:55 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
4662
869.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
4381
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16613
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10899
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
46883
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
88% |
2451
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10733
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1293
9.96 IPS |
|
|
Depth Estimation (Q)
|
76% |
13310
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31618
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27236
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41162
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2409
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
738
984.6 IPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3468
77.3 IPS |