Microsoft Corporation Surface Pro 7
Geekbench AI Score
1266
Single Precision Score
701
Half Precision Score
2045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:33 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% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
99% |
1797
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1605
1.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
7837
9.19 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
88% |
988
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (Q)
|
97% |
2589
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2395
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1026
7.90 IPS |
|
|
Depth Estimation (Q)
|
77% |
3832
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4645
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4042
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
10386
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2061
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
428
571.0 IPS |
|
|
Text Classification (Q)
|
97% |
327
438.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
60% |
1196
26.7 IPS |
