| User | saiht |
| Upload Date | September 30 2024 11:23 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro Mini 400 G9 Desktop PC |
| Motherboard | HP 8AC9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700T |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
2577
479.3 IPS |
|
|
Image Classification (Q)
|
99% |
3761
701.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
3138
3.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
12852
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
98% |
2181
173.5 IPS |
|
|
Object Detection (Q)
|
90% |
4110
328.6 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
9475
112.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8073
62.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10908
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11204
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18876
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29156
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6424
237.9 IPS |
|
|
Text Classification (SP)
|
71% |
1062
1.54 KIPS |
|
|
Text Classification (HP)
|
71% |
1300
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1438
24.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1448
24.9 IPS |