Microsoft Corporation Surface Pro 7
Geekbench AI Score
1037
Single Precision Score
544
Half Precision Score
1820
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:52 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% |
584
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.1 IPS |
|
|
Image Classification (Q)
|
99% |
1569
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
6053
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (Q)
|
88% |
839
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
680
8.08 IPS |
|
|
Face Detection (Q)
|
97% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1939
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
77% |
3351
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3372
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
2629
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
9885
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1867
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.8 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.3 IPS |
|
|
Text Classification (Q)
|
97% |
308
412.9 IPS |
|
|
Machine Translation (SP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (Q)
|
60% |
1055
23.5 IPS |
