Microsoft Surface Pro 7 Microsoft Corporation Surface Pro 7
Geekbench AI Score
1131
Single Precision Score
1360
Half Precision Score
875
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | January 21 2026 10:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| Power Plan | Ausbalanciert |
| 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% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
100% |
457
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
618
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3524
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6073
7.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
3001
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
98% |
599
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
536
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
898
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2272
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2769
21.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
1826
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10115
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14217
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7449
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.4 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.0 IPS |
|
|
Text Classification (Q)
|
97% |
203
271.3 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
70% |
272
5.10 IPS |
