| User | n0idea |
| Upload Date | November 13 2024 03:35 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| 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% |
591
110.0 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
100% |
526
97.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1487
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16091
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9010
10.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
13467
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
89% |
716
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
1392
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5244
40.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
4373
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27569
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16899
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21537
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4118
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
542
725.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1554
26.9 IPS |
|
|
Machine Translation (Q)
|
60% |
653
14.6 IPS |