Microsoft Corporation Surface Pro 7
Geekbench AI Score
1284
Single Precision Score
706
Half Precision Score
2024
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:40 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% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
1694
316.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1674
1.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
7714
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
88% |
1024
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (Q)
|
97% |
2559
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2282
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
77% |
3679
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4122
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3875
4.98 IPS |
|
|
Style Transfer (Q)
|
98% |
10018
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2078
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
406
542.1 IPS |
|
|
Text Classification (Q)
|
97% |
325
435.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1172
26.1 IPS |
