| Upload Date | December 11 2025 09:32 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E ICE |
| 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% |
3991
742.2 IPS |
|
|
Image Classification (HP)
|
100% |
7006
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9595
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7756
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
34160
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74651
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
3788
300.5 IPS |
|
|
Object Detection (HP)
|
100% |
5805
460.4 IPS |
|
|
Object Detection (Q)
|
88% |
9310
746.4 IPS |
|
|
Face Detection (SP)
|
100% |
11452
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
17382
206.5 IPS |
|
|
Face Detection (Q)
|
100% |
29394
349.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9960
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19645
151.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
35832
278.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22898
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57231
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
102527
132.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15666
578.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30458
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2277
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |