Microsoft Corporation Surface Pro 7
Geekbench AI Score
1348
Single Precision Score
718
Half Precision Score
2196
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 12:41 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
99% |
1876
349.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
8286
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (Q)
|
88% |
1100
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
97% |
2707
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2302
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
4009
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4694
6.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3509
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
11175
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2337
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
495
661.3 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (Q)
|
60% |
1251
27.9 IPS |
