| User | gethen |
| Upload Date | July 01 2025 03:38 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10355
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
13086
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
7951
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16653
270.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21189
343.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12434
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
79127
92.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
326527
381.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
63436
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
12994
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
17248
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
9685
777.4 IPS |
|
|
Face Detection (SP)
|
100% |
30331
360.4 IPS |
|
|
Face Detection (HP)
|
100% |
41447
492.5 IPS |
|
|
Face Detection (Q)
|
97% |
20709
246.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
62144
478.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95817
738.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35591
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
194741
250.3 IPS |
|
|
Style Transfer (HP)
|
100% |
529096
680.2 IPS |
|
|
Style Transfer (Q)
|
98% |
129049
166.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29873
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53245
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15554
576.0 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1751
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1421
26.7 IPS |