Microsoft Corporation Surface Pro
Geekbench AI Score
1230
Single Precision Score
1213
Half Precision Score
1756
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz |
| 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% |
708
131.7 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
100% |
1009
187.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1360
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
2347
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (Q)
|
87% |
1094
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
1982
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
2706
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1785
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1816
14.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2876
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4028
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4047
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6912
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1478
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1473
25.4 IPS |
