| User | phytertek |
| Upload Date | November 05 2024 04:22 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Uranus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1854
344.9 IPS |
|
|
Image Classification (HP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (Q)
|
99% |
4679
872.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4127
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14477
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
42151
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
88% |
2237
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
5325
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9466
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2740
21.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
9903
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21639
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33703
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4002
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.4 IPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3160
70.5 IPS |