| User | gmn17 |
| Upload Date | November 27 2024 12:01 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
96% |
1687
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
2006
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5586
6.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
12652
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
86% |
852
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
96% |
2513
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1634
12.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4313
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19887
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14595
18.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15948
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1366
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.7 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.8 IPS |
|
|
Text Classification (Q)
|
97% |
633
848.4 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
60% |
1431
31.9 IPS |