Microsoft Corporation Surface Pro 7
Geekbench AI Score
1158
Single Precision Score
617
Half Precision Score
1981
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:20 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% |
639
118.8 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
99% |
1815
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1881
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
7147
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
88% |
964
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
97% |
2433
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.44 IPS |
|
|
Depth Estimation (Q)
|
77% |
3587
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3808
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3371
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
10960
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1941
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
403
538.1 IPS |
|
|
Text Classification (Q)
|
97% |
304
407.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.6 IPS |
