Microsoft Corporation Surface Pro 7
Geekbench AI Score
850
Single Precision Score
430
Half Precision Score
1470
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 01:54 PM |
| 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% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
99% |
1569
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
876
1.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
4436
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
88% |
721
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
528
6.28 IPS |
|
|
Face Detection (Q)
|
97% |
2120
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1384
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
585
4.51 IPS |
|
|
Depth Estimation (Q)
|
77% |
2793
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2761
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
2240
2.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6581
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1723
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
354
471.9 IPS |
|
|
Text Classification (Q)
|
97% |
214
286.4 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
60% |
734
16.4 IPS |
