Microsoft Corporation Surface Pro 7
Geekbench AI Score
1787
Single Precision Score
2688
Half Precision Score
2642
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 09 2025 09:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| 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% |
1112
206.9 IPS |
|
|
Image Classification (HP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (Q)
|
100% |
1464
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
2913
3.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
6428
7.53 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
99% |
1771
140.9 IPS |
|
|
Object Detection (Q)
|
88% |
1615
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5086
60.4 IPS |
|
|
Face Detection (Q)
|
97% |
4787
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6055
46.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5399
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9902
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15617
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14180
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2509
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2298
85.1 IPS |
|
|
Text Classification (SP)
|
71% |
395
570.9 IPS |
|
|
Text Classification (HP)
|
71% |
610
882.2 IPS |
|
|
Text Classification (Q)
|
92% |
434
582.4 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1163
20.1 IPS |
