Microsoft Corporation Surface Pro 7
Geekbench AI Score
881
Single Precision Score
451
Half Precision Score
1482
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:24 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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
1284
239.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
5041
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
88% |
705
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (Q)
|
97% |
1668
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1287
9.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
77% |
2356
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2638
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2581
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8185
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1980
73.3 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.1 IPS |
|
|
Text Classification (Q)
|
97% |
306
410.3 IPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
60% |
771
17.2 IPS |
