Microsoft Corporation Surface Pro 7
Geekbench AI Score
1138
Single Precision Score
626
Half Precision Score
1918
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:50 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% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
1716
320.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
6948
8.14 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
88% |
1006
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1916
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.03 IPS |
|
|
Depth Estimation (Q)
|
77% |
3517
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3747
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2995
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
9188
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1981
73.3 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
395
527.1 IPS |
|
|
Text Classification (Q)
|
97% |
301
402.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
60% |
1125
25.1 IPS |
