Microsoft Corporation Surface Pro 7
Geekbench AI Score
792
Single Precision Score
420
Half Precision Score
1553
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 01:32 PM |
| 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% |
340
63.3 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
99% |
1640
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
876
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1049
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
4653
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
88% |
776
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (Q)
|
97% |
2157
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1412
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
608
4.68 IPS |
|
|
Depth Estimation (Q)
|
77% |
2816
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2935
3.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2224
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6554
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1692
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.3 IPS |
|
|
Text Classification (Q)
|
97% |
267
357.2 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
60% |
877
19.6 IPS |
