Microsoft Corporation Surface Pro 7
Geekbench AI Score
616
Single Precision Score
331
Half Precision Score
1498
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 01:48 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% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.6 IPS |
|
|
Image Classification (Q)
|
99% |
1244
232.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1303
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
861
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
3076
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1089
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
1909
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
2904
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1899
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1442
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4130
5.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1360
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.5 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.5 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.5 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
65% |
943
18.9 IPS |
