Microsoft Surface Pro 7 Microsoft Corporation Surface Pro 7
Geekbench AI Score
1956
Single Precision Score
2796
Half Precision Score
2780
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | January 21 2026 11:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| 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% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
1749
325.2 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2776
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (HP)
|
99% |
3018
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
6732
7.89 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
99% |
1888
150.2 IPS |
|
|
Object Detection (Q)
|
88% |
1787
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5519
65.6 IPS |
|
|
Face Detection (Q)
|
97% |
5109
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4061
31.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6519
50.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
5934
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10499
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15157
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13649
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2481
91.9 IPS |
|
|
Text Classification (SP)
|
71% |
384
555.7 IPS |
|
|
Text Classification (HP)
|
71% |
564
816.5 IPS |
|
|
Text Classification (Q)
|
92% |
433
582.4 IPS |
|
|
Machine Translation (SP)
|
100% |
874
15.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
