| User | n0idea |
| Upload Date | November 13 2024 04:44 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 10 IoT LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. GL703VD |
| Motherboard | ASUSTeK COMPUTER INC. GL703VD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
928
172.6 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
100% |
1182
219.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
2136
2.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
3079
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.1 IPS |
|
|
Object Detection (HP)
|
99% |
1397
111.1 IPS |
|
|
Object Detection (Q)
|
88% |
1325
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
3380
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2713
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4514
34.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4171
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6546
8.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8639
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7553
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1841
68.2 IPS |
|
|
Text Classification (SP)
|
71% |
521
753.7 IPS |
|
|
Text Classification (HP)
|
71% |
618
894.1 IPS |
|
|
Text Classification (Q)
|
92% |
456
612.5 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |