Microsoft Corporation Surface Pro 7
Geekbench AI Score
1033
Single Precision Score
604
Half Precision Score
1762
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:49 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
996
185.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1504
1.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
7713
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
88% |
886
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
97% |
2387
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2059
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
925
7.13 IPS |
|
|
Depth Estimation (Q)
|
77% |
3430
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4372
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3497
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9485
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2011
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
411
549.0 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
60% |
1126
25.1 IPS |
