Microsoft Corporation Surface Pro 7
Geekbench AI Score
1064
Single Precision Score
572
Half Precision Score
1891
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:42 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% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
1745
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
6086
7.13 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
88% |
946
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (Q)
|
97% |
2459
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1890
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
720
5.55 IPS |
|
|
Depth Estimation (Q)
|
77% |
3499
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3279
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2700
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9070
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1869
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
723
965.5 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.1 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
60% |
1015
22.6 IPS |
