Microsoft Corporation Surface Pro 7
Geekbench AI Score
1112
Single Precision Score
547
Half Precision Score
1931
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:38 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% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
99% |
1862
347.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
5937
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
88% |
1019
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
97% |
2501
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2005
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
742
5.72 IPS |
|
|
Depth Estimation (Q)
|
77% |
3820
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3610
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2653
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
9481
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1970
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
372
496.2 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.5 IPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1161
25.9 IPS |
