| User | sunjw8888 |
| Upload Date | August 16 2024 12:04 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3214
597.8 IPS |
|
|
Image Classification (HP)
|
100% |
4901
911.5 IPS |
|
|
Image Classification (Q)
|
100% |
2641
491.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4570
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5687
92.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3816
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
46793
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124217
144.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
39657
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
4059
322.0 IPS |
|
|
Object Detection (HP)
|
100% |
5818
461.5 IPS |
|
|
Object Detection (Q)
|
89% |
3278
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
8753
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
12167
144.6 IPS |
|
|
Face Detection (Q)
|
97% |
6859
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22070
170.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39997
308.2 IPS |
|
|
Depth Estimation (Q)
|
72% |
15726
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
82079
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181812
233.7 IPS |
|
|
Style Transfer (Q)
|
98% |
67813
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12712
469.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20676
763.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8704
322.3 IPS |
|
|
Text Classification (SP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2599
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
60% |
701
15.6 IPS |