Microsoft Corporation Surface Pro 7
Geekbench AI Score
1070
Single Precision Score
550
Half Precision Score
2303
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
99% |
1980
369.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1205
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1211
1.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
5433
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
86% |
1963
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
680
8.08 IPS |
|
|
Face Detection (Q)
|
97% |
3301
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1785
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
790
6.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
4240
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3661
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2907
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
8420
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1676
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.0 IPS |
|
|
Text Classification (HP)
|
100% |
351
469.1 IPS |
|
|
Text Classification (Q)
|
97% |
685
917.4 IPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1220
24.5 IPS |
