Microsoft Corporation Surface Pro 7
Geekbench AI Score
1187
Single Precision Score
620
Half Precision Score
1999
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:05 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
99% |
1938
361.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1862
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1530
1.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
7639
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
976
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (Q)
|
97% |
2096
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1747
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
788
6.07 IPS |
|
|
Depth Estimation (Q)
|
77% |
3587
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2906
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
11455
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2019
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
386
514.7 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
60% |
1252
27.9 IPS |
