Microsoft Corporation Surface Pro 7
Geekbench AI Score
1218
Single Precision Score
668
Half Precision Score
2081
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:06 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% |
642
119.3 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.7 IPS |
|
|
Image Classification (Q)
|
99% |
1649
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1232
1.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
8460
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
88% |
1121
89.9 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
97% |
2763
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2700
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1058
8.15 IPS |
|
|
Depth Estimation (Q)
|
77% |
3999
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5660
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4421
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
11035
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2032
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
394
526.3 IPS |
|
|
Text Classification (Q)
|
97% |
332
444.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1144
25.5 IPS |
