| User | isaacandy |
| Upload Date | April 28 2025 08:02 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2861
532.0 IPS |
|
|
Image Classification (HP)
|
100% |
3840
714.0 IPS |
|
|
Image Classification (Q)
|
99% |
4899
913.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7113
115.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8252
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10261
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
7565
8.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
30686
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2812
223.0 IPS |
|
|
Object Detection (HP)
|
100% |
3858
306.1 IPS |
|
|
Object Detection (Q)
|
90% |
5686
454.6 IPS |
|
|
Face Detection (SP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
11157
132.6 IPS |
|
|
Face Detection (Q)
|
100% |
15727
186.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10021
77.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
15005
116.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
19519
151.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25908
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34492
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69301
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6535
241.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11068
409.9 IPS |
|
|
Text Classification (SP)
|
71% |
1010
1.46 KIPS |
|
|
Text Classification (HP)
|
71% |
1174
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1128
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1312
22.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1596
27.5 IPS |