Microsoft Corporation Surface Pro 7
Geekbench AI Score
996
Single Precision Score
519
Half Precision Score
1831
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:59 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
1665
310.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
4534
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
88% |
802
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
2545
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2100
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.90 IPS |
|
|
Depth Estimation (Q)
|
77% |
3795
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3429
4.41 IPS |
|
|
Style Transfer (HP)
|
100% |
2857
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
8972
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2176
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
447
596.6 IPS |
|
|
Text Classification (Q)
|
97% |
345
461.8 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1114
24.8 IPS |
