Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
367
Single Precision Score
573
Half Precision Score
1074
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 29 2025 08:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (Q)
|
99% |
3582
668.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1870
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2743
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3819
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
9619
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
1035
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
2676
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
539
6.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
205
1.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
286
2.21 IPS |
|
|
Depth Estimation (Q)
|
79% |
526
4.18 IPS |
|
|
Style Transfer (SP)
|
100% |
1483
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1595
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2876
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.57 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.2 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.6 IPS |
|
|
Text Classification (Q)
|
97% |
145
194.0 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (HP)
|
99% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
65% |
348
7.00 IPS |
