Microsoft Surface Pro 7 Microsoft Corporation Surface Pro 7
Geekbench AI Score
2311
Single Precision Score
2322
Half Precision Score
6202
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | January 21 2026 10:17 AM |
| Views | 6 |
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 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% |
1432
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (Q)
|
100% |
4025
748.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3880
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
10832
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (Q)
|
88% |
4221
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
9889
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3727
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3725
28.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10847
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7293
9.38 IPS |
|
|
Style Transfer (HP)
|
100% |
7264
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
27480
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3196
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2518
43.4 IPS |
