| User | gethen |
| Upload Date | November 05 2025 05:26 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro B60 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 Core 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% |
10142
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
12997
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
7564
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17969
291.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24434
396.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12622
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46390
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
213559
249.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39743
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
12960
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
17361
1.38 KIPS |
|
|
Object Detection (Q)
|
87% |
9496
762.2 IPS |
|
|
Face Detection (SP)
|
100% |
31856
378.5 IPS |
|
|
Face Detection (HP)
|
100% |
44973
534.4 IPS |
|
|
Face Detection (Q)
|
97% |
20213
241.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56951
438.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91582
705.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
31725
254.3 IPS |
|
|
Style Transfer (SP)
|
100% |
169660
218.1 IPS |
|
|
Style Transfer (HP)
|
100% |
493920
634.9 IPS |
|
|
Style Transfer (Q)
|
98% |
112055
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26351
973.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50303
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14022
519.2 IPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1372
25.7 IPS |