Microsoft Corporation Surface Pro 7
Geekbench AI Score
1876
Single Precision Score
1858
Half Precision Score
5132
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 09 2025 09:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1035G4 CPU @ 1.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (Q)
|
100% |
3359
624.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
7878
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
1077
85.5 IPS |
|
|
Object Detection (Q)
|
88% |
3602
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
3068
36.4 IPS |
|
|
Face Detection (Q)
|
100% |
8392
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2935
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2738
21.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8589
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5443
7.00 IPS |
|
|
Style Transfer (HP)
|
100% |
5260
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
22665
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2601
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2123
36.6 IPS |
