Microsoft Corporation Surface Pro 7
Geekbench AI Score
973
Single Precision Score
526
Half Precision Score
1840
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
1659
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
5421
6.35 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
88% |
960
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
674
8.00 IPS |
|
|
Face Detection (Q)
|
97% |
2421
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
728
5.61 IPS |
|
|
Depth Estimation (Q)
|
77% |
3375
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2595
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
8693
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2089
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.9 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.2 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1126
25.1 IPS |
