Upload Date | January 15 2025 01:18 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i5-1035G4 |
System Information | |
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Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Microsoft Corporation Surface Pro 7 |
Motherboard | Microsoft Corporation Surface Pro 7 |
CPU Information | |
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Name | Intel Core i5-1035G4 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
Base Frequency | 1.50 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 8.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
Image Classification (Q)
|
99% |
1254
233.9 IPS |
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
Image Segmentation (HP)
|
100% |
238
3.85 IPS |
|
Image Segmentation (Q)
|
98% |
613
9.97 IPS |
|
Pose Estimation (SP)
|
100% |
979
1.14 IPS |
|
Pose Estimation (HP)
|
100% |
780
0.91 IPS |
|
Pose Estimation (Q)
|
95% |
3491
4.09 IPS |
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
Object Detection (Q)
|
88% |
486
38.9 IPS |
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
Face Detection (Q)
|
97% |
1482
17.7 IPS |
|
Depth Estimation (SP)
|
100% |
1131
8.71 IPS |
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
Depth Estimation (Q)
|
77% |
1932
15.5 IPS |
|
Style Transfer (SP)
|
100% |
2485
3.19 IPS |
|
Style Transfer (HP)
|
100% |
1893
2.43 IPS |
|
Style Transfer (Q)
|
98% |
5458
7.04 IPS |
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
1042
38.6 IPS |
|
Text Classification (SP)
|
100% |
534
712.3 IPS |
|
Text Classification (HP)
|
100% |
225
300.7 IPS |
|
Text Classification (Q)
|
97% |
214
286.8 IPS |
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
Machine Translation (Q)
|
60% |
732
16.3 IPS |