Microsoft Corporation Surface Pro 7
Geekbench AI Score
1039
Single Precision Score
511
Half Precision Score
2485
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 25 2026 11:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
99% |
3328
620.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
3588
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
5656
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
86% |
1189
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
3211
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1161
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
3.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
3740
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2226
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6186
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1274
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
622
830.6 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.6 IPS |
|
|
Text Classification (Q)
|
97% |
733
982.1 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.73 IPS |
|
|
Machine Translation (Q)
|
65% |
1612
32.4 IPS |
