Microsoft Corporation Surface Pro 7
Geekbench AI Score
1360
Single Precision Score
727
Half Precision Score
2130
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:55 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% |
596
110.9 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
99% |
1535
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1147
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
8682
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
88% |
1060
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
2675
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2880
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.40 IPS |
|
|
Depth Estimation (Q)
|
77% |
4123
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5338
6.86 IPS |
|
|
Style Transfer (HP)
|
100% |
4157
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
11033
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2376
88.0 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.5 IPS |
|
|
Text Classification (Q)
|
97% |
331
442.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1244
27.7 IPS |
