Microsoft Corporation Surface Pro 7
Geekbench AI Score
896
Single Precision Score
480
Half Precision Score
1742
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:48 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
1587
296.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1284
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
5322
6.24 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
1039
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
97% |
2170
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1436
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
607
4.68 IPS |
|
|
Depth Estimation (Q)
|
77% |
2890
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2787
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2449
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
7457
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1770
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
411
548.1 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.3 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
60% |
928
20.7 IPS |
