| Upload Date | November 17 2025 09:55 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-9100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H310M DS2 2.0 |
| Motherboard | Gigabyte Technology Co., Ltd. H310M DS2 2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (Q)
|
100% |
2323
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
5657
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (Q)
|
87% |
2395
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
6124
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3735
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3727
28.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6384
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8316
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8350
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16283
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3401
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (Q)
|
91% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2344
40.4 IPS |