Microsoft Corporation Surface Pro 7
Geekbench AI Score
795
Single Precision Score
965
Half Precision Score
627
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 02:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
| 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% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
100% |
353
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
441
7.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4155
4.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
2202
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
98% |
382
30.4 IPS |
|
|
Object Detection (Q)
|
86% |
339
27.3 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (Q)
|
97% |
551
6.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
1384
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
1039
8.34 IPS |
|
|
Style Transfer (SP)
|
100% |
5799
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
8080
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4179
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.1 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.5 IPS |
|
|
Text Classification (Q)
|
97% |
235
314.5 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (Q)
|
70% |
291
5.46 IPS |
