Microsoft Corporation Surface Pro 7
Geekbench AI Score
1044
Single Precision Score
552
Half Precision Score
1923
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:37 PM |
| 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% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.5 IPS |
|
|
Image Classification (Q)
|
99% |
1683
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
5089
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
88% |
1057
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (Q)
|
97% |
2101
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1708
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.29 IPS |
|
|
Depth Estimation (Q)
|
77% |
3404
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3156
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
2514
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
10200
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.0 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1235
27.6 IPS |
