Microsoft Corporation Surface Pro 7
Geekbench AI Score
2509
Single Precision Score
2459
Half Precision Score
6690
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-1065G7 CPU @ 1.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| 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% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
1543
286.9 IPS |
|
|
Image Classification (Q)
|
100% |
4393
816.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4282
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
11336
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (Q)
|
88% |
4487
359.7 IPS |
|
|
Face Detection (SP)
|
100% |
3800
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
10558
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3848
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3902
30.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11387
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7475
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7011
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
28843
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5813
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
1764
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3313
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2812
48.4 IPS |
