| Upload Date | December 09 2025 12:42 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H97M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. H97M-D3H |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1285 v4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 71 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7266
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
8304
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
6508
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8787
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8076
130.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7997
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
94523
110.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177134
206.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
83304
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
6341
503.0 IPS |
|
|
Object Detection (HP)
|
99% |
9080
720.3 IPS |
|
|
Object Detection (Q)
|
87% |
5732
460.3 IPS |
|
|
Face Detection (SP)
|
100% |
19923
236.7 IPS |
|
|
Face Detection (HP)
|
100% |
24791
294.6 IPS |
|
|
Face Detection (Q)
|
97% |
17432
207.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45092
347.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55115
424.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36489
292.6 IPS |
|
|
Style Transfer (SP)
|
100% |
162164
208.5 IPS |
|
|
Style Transfer (HP)
|
100% |
250325
321.8 IPS |
|
|
Style Transfer (Q)
|
98% |
138282
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24381
900.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33683
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18692
692.2 IPS |
|
|
Text Classification (SP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1411
26.5 IPS |