Microsoft Corporation Surface Pro 7
Geekbench AI Score
1221
Single Precision Score
652
Half Precision Score
1887
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:47 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% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
1725
321.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1105
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
6828
8.00 IPS |
|
|
Object Detection (SP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
88% |
968
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
2283
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2097
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
77% |
3611
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4301
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3711
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
9545
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2068
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
341
455.5 IPS |
|
|
Text Classification (Q)
|
97% |
271
363.1 IPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1032
23.0 IPS |
