| Upload Date | December 02 2025 07:21 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860MD3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B860M D3HP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| 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% |
3639
676.8 IPS |
|
|
Image Classification (HP)
|
100% |
6753
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6189
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4791
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3976
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6992
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
34457
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75765
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3524
279.5 IPS |
|
|
Object Detection (HP)
|
100% |
5788
459.1 IPS |
|
|
Object Detection (Q)
|
87% |
9580
768.9 IPS |
|
|
Face Detection (SP)
|
100% |
11105
132.0 IPS |
|
|
Face Detection (HP)
|
100% |
17308
205.7 IPS |
|
|
Face Detection (Q)
|
100% |
29462
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9095
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19692
151.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36149
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20798
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54800
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100067
129.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14090
520.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24651
912.9 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1903
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4335
74.7 IPS |