| User | gethen |
| Upload Date | July 02 2025 07:53 AM |
| Views | 9 |
| 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% |
9737
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
12502
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
7450
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16248
263.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20468
331.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12148
197.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76018
88.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
324982
379.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60452
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
12612
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
16233
1.29 KIPS |
|
|
Object Detection (Q)
|
87% |
9556
767.0 IPS |
|
|
Face Detection (SP)
|
100% |
28803
342.2 IPS |
|
|
Face Detection (HP)
|
100% |
40343
479.4 IPS |
|
|
Face Detection (Q)
|
97% |
19664
234.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
60644
467.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98368
757.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34743
278.5 IPS |
|
|
Style Transfer (SP)
|
100% |
97815
125.7 IPS |
|
|
Style Transfer (HP)
|
100% |
534121
686.6 IPS |
|
|
Style Transfer (Q)
|
98% |
79949
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29562
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51575
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15440
571.7 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1313
24.6 IPS |