| User | MrCrispr |
| Upload Date | September 15 2024 12:52 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.1 IPS |
|
|
Image Classification (Q)
|
99% |
7058
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4141
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
30631
35.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17748
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
83219
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
3549
281.5 IPS |
|
|
Object Detection (HP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
88% |
3432
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
5197
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
7712
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14903
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4367
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14628
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53267
68.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38140
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55958
72.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3902
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7250
268.5 IPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
614
822.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
60% |
4094
91.3 IPS |