Microsoft Corporation Surface Pro 7
Geekbench AI Score
1776
Single Precision Score
873
Half Precision Score
3772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
99% |
3379
630.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
3660
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1851
2.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8721
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
3170
254.8 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5209
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3492
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1234
9.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
4797
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4448
5.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4410
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
10719
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3153
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.7 IPS |
|
|
Text Classification (Q)
|
97% |
1062
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1902
38.2 IPS |
