| Upload Date | October 31 2025 10:26 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 230F |
| 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% |
3248
603.9 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (Q)
|
100% |
8302
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4045
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9464
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5631
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3723
4.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
21527
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (Q)
|
88% |
9018
722.9 IPS |
|
|
Face Detection (SP)
|
100% |
9275
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
6912
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
23338
277.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7630
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5450
42.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22635
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17043
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10918
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
64135
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12962
480.0 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5286
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4744
81.7 IPS |