| User | ttam |
| Upload Date | December 06 2024 07:42 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Laptop 5 |
| Motherboard | Microsoft Corporation Surface Laptop 5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1182
219.8 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
2539
473.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1444
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
7863
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
2243
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
4309
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3432
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
6796
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6531
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4117
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
11788
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1901
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
427
570.5 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (Q)
|
65% |
1370
27.5 IPS |