| User | gethen |
| Upload Date | December 10 2025 12:44 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B60 Graphics (dGPU) |
| 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% |
14072
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
27431
5.10 KIPS |
|
|
Image Classification (Q)
|
100% |
32534
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27999
453.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
50190
813.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
53416
865.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
72811
85.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
317625
370.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
608176
712.0 IPS |
|
|
Object Detection (SP)
|
100% |
11306
896.8 IPS |
|
|
Object Detection (HP)
|
100% |
29415
2.33 KIPS |
|
|
Object Detection (Q)
|
88% |
33626
2.69 KIPS |
|
|
Face Detection (SP)
|
100% |
38791
460.9 IPS |
|
|
Face Detection (HP)
|
100% |
76759
912.1 IPS |
|
|
Face Detection (Q)
|
100% |
83731
994.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55508
427.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
129654
998.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
153577
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
166814
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
517144
664.8 IPS |
|
|
Style Transfer (Q)
|
98% |
570943
736.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29267
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74951
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77622
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3557
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7897
136.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7858
135.4 IPS |