| User | gethen |
| Upload Date | December 03 2025 11:19 AM |
| Views | 10 |
| 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% |
9909
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
12723
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
7408
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17891
290.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24229
392.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12734
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
68824
80.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
297024
346.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54710
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
12666
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
17089
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
9301
746.6 IPS |
|
|
Face Detection (SP)
|
100% |
30618
363.8 IPS |
|
|
Face Detection (HP)
|
100% |
44241
525.7 IPS |
|
|
Face Detection (Q)
|
97% |
20203
240.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56097
432.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89788
691.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
21979
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
168887
217.1 IPS |
|
|
Style Transfer (HP)
|
100% |
475050
610.7 IPS |
|
|
Style Transfer (Q)
|
98% |
111651
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26362
973.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50577
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13749
509.1 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1571
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1346
25.2 IPS |