User | dynamiteCobra88 |
Upload Date | February 02 2025 02:10 PM |
Views | 5 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Graphics (iGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
Model | Microsoft Corporation Surface Pro 10 for Business |
Motherboard | Microsoft Corporation Surface Pro 10 for Business |
Power Plan | Bitsum Highest Performance |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 5 135U |
Topology | 1 Processor, 12 Cores, 14 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.10 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3551
660.4 IPS |
|
Image Classification (HP)
|
100% |
5134
954.8 IPS |
|
Image Classification (Q)
|
100% |
6586
1.22 KIPS |
|
Image Segmentation (SP)
|
100% |
3645
59.1 IPS |
|
Image Segmentation (HP)
|
100% |
7880
127.7 IPS |
|
Image Segmentation (Q)
|
99% |
10431
169.1 IPS |
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
Pose Estimation (HP)
|
99% |
10545
12.3 IPS |
|
Pose Estimation (Q)
|
97% |
31302
36.6 IPS |
|
Object Detection (SP)
|
100% |
3314
262.8 IPS |
|
Object Detection (HP)
|
100% |
4810
381.6 IPS |
|
Object Detection (Q)
|
88% |
7585
607.8 IPS |
|
Face Detection (SP)
|
100% |
8203
97.5 IPS |
|
Face Detection (HP)
|
100% |
15096
179.4 IPS |
|
Face Detection (Q)
|
100% |
21963
261.0 IPS |
|
Depth Estimation (SP)
|
100% |
11929
91.9 IPS |
|
Depth Estimation (HP)
|
98% |
19974
154.4 IPS |
|
Depth Estimation (Q)
|
89% |
22901
178.0 IPS |
|
Style Transfer (SP)
|
100% |
27699
35.6 IPS |
|
Style Transfer (HP)
|
100% |
38400
49.4 IPS |
|
Style Transfer (Q)
|
98% |
75852
97.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
8656
319.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
13375
495.3 IPS |
|
Text Classification (SP)
|
71% |
1598
2.31 KIPS |
|
Text Classification (HP)
|
71% |
2097
3.03 KIPS |
|
Text Classification (Q)
|
92% |
2299
3.09 KIPS |
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
Machine Translation (HP)
|
96% |
2485
43.0 IPS |
|
Machine Translation (Q)
|
100% |
2498
43.0 IPS |