| User | Kukusa |
| Upload Date | August 02 2025 05:42 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
2337
434.5 IPS |
|
|
Image Classification (Q)
|
100% |
5768
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5828
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4402
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4667
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
15650
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (Q)
|
88% |
6062
485.9 IPS |
|
|
Face Detection (SP)
|
100% |
5403
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
5292
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
14020
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6048
46.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15310
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12863
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13624
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45448
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9799
362.9 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4153
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3297
56.8 IPS |