| User | konopek1971 |
| Upload Date | November 08 2025 10:19 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (Q)
|
100% |
7622
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3851
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7286
118.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
18993
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (Q)
|
88% |
7783
623.9 IPS |
|
|
Face Detection (SP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
16403
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6825
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7279
56.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
19872
154.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16572
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17896
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61155
78.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3603
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12106
448.3 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3564
61.4 IPS |