Microsoft Corporation Surface Pro 7
Geekbench AI Score
1092
Single Precision Score
594
Half Precision Score
1875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 02:36 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% |
583
108.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
99% |
1555
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1556
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
6887
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
88% |
807
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
97% |
2517
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2065
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
842
6.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
3661
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3948
5.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
9875
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1951
72.2 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
378
504.0 IPS |
|
|
Text Classification (Q)
|
97% |
292
390.9 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
60% |
1175
26.2 IPS |
