Microsoft Corporation Surface Pro 7
Geekbench AI Score
1123
Single Precision Score
1272
Half Precision Score
792
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 25 2026 11:54 PM |
| Views | 6 |
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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.5 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
3332
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
98% |
594
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
535
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
328
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1440
11.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2167
16.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1522
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8283
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11513
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
6530
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.6 IPS |
|
|
Text Classification (HP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (Q)
|
97% |
237
318.0 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
70% |
279
5.23 IPS |
