Microsoft Surface Pro 7 Microsoft Corporation Surface Pro 7
Geekbench AI Score
1530
Single Precision Score
772
Half Precision Score
3443
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | January 21 2026 09:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| 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% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (Q)
|
99% |
3176
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
3484
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
9011
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
86% |
3172
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
4730
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3340
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1230
9.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
5129
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3895
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3356
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
9393
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2369
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.1 IPS |
|
|
Text Classification (Q)
|
97% |
869
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1581
31.8 IPS |
