Microsoft Corporation Surface Pro 7
Geekbench AI Score
1297
Single Precision Score
703
Half Precision Score
2133
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 11:51 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
99% |
1877
350.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2191
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1691
1.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
7993
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.5 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
88% |
1047
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (Q)
|
97% |
2658
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2457
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1109
8.54 IPS |
|
|
Depth Estimation (Q)
|
77% |
3994
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3864
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3013
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
10930
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2238
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.7 IPS |
|
|
Text Classification (Q)
|
97% |
326
436.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1252
27.9 IPS |
