Microsoft Corporation Surface Pro
Geekbench AI Score
1844
Single Precision Score
2607
Half Precision Score
2510
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | October 13 2024 11:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics 640 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro |
| Motherboard | Microsoft Corporation Surface Pro |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7660U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
1739
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
2960
3.46 IPS |
|
|
Pose Estimation (Q)
|
97% |
4760
5.57 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
99% |
1868
148.6 IPS |
|
|
Object Detection (Q)
|
88% |
1660
133.1 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5265
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
5032
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3754
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6201
47.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5755
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8599
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12076
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11067
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3086
114.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2810
104.1 IPS |
|
|
Text Classification (SP)
|
71% |
512
740.0 IPS |
|
|
Text Classification (HP)
|
71% |
555
803.5 IPS |
|
|
Text Classification (Q)
|
92% |
421
565.3 IPS |
|
|
Machine Translation (SP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (HP)
|
97% |
809
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
778
13.4 IPS |
