Microsoft Corporation Surface Pro 7
Geekbench AI Score
1230
Single Precision Score
696
Half Precision Score
1983
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:27 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% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
99% |
1643
306.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1073
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1929
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1443
1.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
7120
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (Q)
|
88% |
917
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
825
9.81 IPS |
|
|
Face Detection (Q)
|
97% |
2606
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2705
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
77% |
3775
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4835
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4013
5.16 IPS |
|
|
Style Transfer (Q)
|
98% |
10101
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
898
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2186
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
422
562.8 IPS |
|
|
Text Classification (Q)
|
97% |
315
422.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1196
26.7 IPS |
