| Upload Date | November 26 2025 11:37 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8105
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
14525
2.70 KIPS |
|
|
Image Classification (Q)
|
99% |
7256
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11365
184.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15570
252.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10557
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
99807
116.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
306099
357.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
82298
96.4 IPS |
|
|
Object Detection (SP)
|
100% |
10452
829.0 IPS |
|
|
Object Detection (HP)
|
100% |
16987
1.35 KIPS |
|
|
Object Detection (Q)
|
83% |
8971
724.8 IPS |
|
|
Face Detection (SP)
|
100% |
23390
277.9 IPS |
|
|
Face Detection (HP)
|
100% |
38825
461.3 IPS |
|
|
Face Detection (Q)
|
97% |
20924
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
48199
371.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102647
790.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
38156
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
150142
193.0 IPS |
|
|
Style Transfer (HP)
|
100% |
516502
664.0 IPS |
|
|
Style Transfer (Q)
|
98% |
125305
161.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28242
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53040
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22055
816.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2128
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1677
31.5 IPS |