Microsoft Corporation Surface Pro 7
Geekbench AI Score
1137
Single Precision Score
1356
Half Precision Score
865
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 09 2025 09:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
| 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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
100% |
463
86.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
3172
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5879
6.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
2702
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
98% |
591
47.0 IPS |
|
|
Object Detection (Q)
|
86% |
522
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2228
17.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2728
21.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
1794
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9918
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14015
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7238
9.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
846
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.1 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.4 IPS |
|
|
Text Classification (Q)
|
97% |
231
309.7 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
70% |
270
5.06 IPS |
