| User | Cruxys |
| Upload Date | February 04 2026 03:28 AM |
| Views | 6 |
| 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. B860 EAGLE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 EAGLE WIFI6E |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3042
565.8 IPS |
|
|
Image Classification (HP)
|
100% |
6832
1.27 KIPS |
|
|
Image Classification (Q)
|
56% |
6180
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
34379
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74895
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (HP)
|
100% |
5799
459.9 IPS |
|
|
Object Detection (Q)
|
87% |
9747
782.3 IPS |
|
|
Face Detection (SP)
|
100% |
8585
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
17328
205.9 IPS |
|
|
Face Detection (Q)
|
100% |
29348
348.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19410
149.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35151
273.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16552
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53707
69.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98227
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3385
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14269
526.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25246
935.0 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4376
75.4 IPS |