Microsoft Corporation Surface Pro 7
Geekbench AI Score
1256
Single Precision Score
689
Half Precision Score
2050
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:32 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
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
99% |
1743
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
7828
9.18 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
88% |
1005
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
97% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2462
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
77% |
3805
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4897
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4094
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
10693
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2197
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.7 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.4 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1174
26.2 IPS |
