Microsoft Corporation Surface Pro 7
Geekbench AI Score
2452
Single Precision Score
2433
Half Precision Score
6597
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 26 2026 12:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1035G4 CPU @ 1.10GHz |
| 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% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
100% |
4270
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4135
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
11233
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (Q)
|
88% |
4462
357.7 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
10922
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3837
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11564
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6464
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
6021
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
27369
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5627
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3360
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2700
46.5 IPS |
