| Upload Date | August 20 2024 03:02 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC9V7QNX |
| Motherboard | Intel Corporation NUC9V7QNB |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
97% |
1988
371.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1419
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4104
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3329
3.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
8106
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
86% |
1428
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
96% |
2881
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4921
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
707
5.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
4463
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11136
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8765
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
10265
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2256
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
566
755.7 IPS |
|
|
Text Classification (Q)
|
97% |
387
517.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
60% |
1386
30.9 IPS |