| User | Lord_Gaav |
| Upload Date | December 21 2025 11:26 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 GRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B150N Phoenix-WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B150N Phoenix-WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8184
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
5260
978.3 IPS |
|
|
Image Classification (Q)
|
99% |
4793
894.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8933
144.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8488
137.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8264
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
186791
218.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
274011
319.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
164913
193.2 IPS |
|
|
Object Detection (SP)
|
100% |
7414
588.1 IPS |
|
|
Object Detection (HP)
|
99% |
7649
606.7 IPS |
|
|
Object Detection (Q)
|
87% |
6634
532.8 IPS |
|
|
Face Detection (SP)
|
100% |
23181
275.4 IPS |
|
|
Face Detection (HP)
|
100% |
25599
304.2 IPS |
|
|
Face Detection (Q)
|
97% |
20573
245.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47142
363.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53770
414.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
41044
328.9 IPS |
|
|
Style Transfer (SP)
|
100% |
274162
352.4 IPS |
|
|
Style Transfer (HP)
|
100% |
370847
476.7 IPS |
|
|
Style Transfer (Q)
|
98% |
233566
301.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21647
799.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28840
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17356
642.7 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1343
25.2 IPS |