| Upload Date | October 31 2025 10:28 AM |
| Views | 2 |
| 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 PRO WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS PRO WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 230F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3219
598.6 IPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10659
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4099
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5707
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
36127
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77467
90.7 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
6451
511.7 IPS |
|
|
Object Detection (Q)
|
88% |
10843
869.3 IPS |
|
|
Face Detection (SP)
|
100% |
9635
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
18990
225.6 IPS |
|
|
Face Detection (Q)
|
100% |
35413
420.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20395
157.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
37496
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17347
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58061
74.6 IPS |
|
|
Style Transfer (Q)
|
98% |
106746
137.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16788
619.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33173
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2346
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5176
89.2 IPS |