Microsoft Corporation Surface Pro 7
Geekbench AI Score
901
Single Precision Score
473
Half Precision Score
1590
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:33 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% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
1556
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
913
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
4784
5.61 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
88% |
786
63.0 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (Q)
|
97% |
2123
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
627
4.83 IPS |
|
|
Depth Estimation (Q)
|
77% |
2469
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2956
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2183
2.81 IPS |
|
|
Style Transfer (Q)
|
98% |
7766
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1947
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.1 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.4 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
60% |
859
19.2 IPS |
