| User | MSZ |
| Upload Date | September 22 2024 09:52 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro B660M-C D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.5 IPS |
|
|
Image Classification (Q)
|
100% |
5703
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4826
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4382
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
17353
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (Q)
|
88% |
5752
461.1 IPS |
|
|
Face Detection (SP)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
14123
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6419
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6417
49.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
15020
116.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14504
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14581
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52090
67.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9584
354.9 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3254
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2680
46.2 IPS |