| User | Sparrrxw |
| Upload Date | June 03 2025 11:27 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9400F CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H370M-DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. H370M DS3H-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1955
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
100% |
3138
583.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3708
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4492
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
8533
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (HP)
|
100% |
2005
159.0 IPS |
|
|
Object Detection (Q)
|
87% |
3302
264.8 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
8364
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5454
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5258
40.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
9069
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12561
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12516
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24697
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2588
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4947
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
91% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2950
50.8 IPS |