Microsoft Corporation Surface Pro 7
Geekbench AI Score
1205
Single Precision Score
638
Half Precision Score
1962
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:13 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% |
826
153.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
1830
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1828
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1512
1.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
7117
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
88% |
938
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
825
9.81 IPS |
|
|
Face Detection (Q)
|
97% |
2455
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
77% |
3542
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4181
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2858
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9545
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2324
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
381
508.4 IPS |
|
|
Text Classification (Q)
|
97% |
308
411.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1111
24.8 IPS |
