| Upload Date | November 12 2025 08:04 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10638
1.98 KIPS |
|
|
Image Classification (HP)
|
99% |
13697
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
9291
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17345
281.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21262
344.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16290
264.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
236187
275.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
456204
532.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
221554
259.6 IPS |
|
|
Object Detection (SP)
|
100% |
13454
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
16487
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
11654
936.2 IPS |
|
|
Face Detection (SP)
|
100% |
39489
469.2 IPS |
|
|
Face Detection (HP)
|
100% |
44103
524.0 IPS |
|
|
Face Detection (Q)
|
97% |
32609
388.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75235
579.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
134372
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
58800
470.3 IPS |
|
|
Style Transfer (SP)
|
100% |
416952
536.0 IPS |
|
|
Style Transfer (HP)
|
100% |
847698
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
393384
507.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45552
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59420
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34615
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
2906
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1909
35.8 IPS |