| User | yee245 |
| Upload Date | October 12 2025 09:44 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (Q)
|
100% |
3009
559.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3978
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
7166
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (Q)
|
87% |
3062
245.6 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
8035
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5180
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5213
40.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
8006
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11535
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11536
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20327
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
88.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4279
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
91% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3466
59.7 IPS |