Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
312
Single Precision Score
436
Half Precision Score
754
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 29 2025 07:58 AM |
| Views | 3 |
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% |
477
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
1863
346.4 IPS |
|
|
Image Classification (Q)
|
99% |
4235
789.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
973
1.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
1698
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.18 IPS |
|
|
Object Detection (HP)
|
99% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
226
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
598
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
329
2.54 IPS |
|
|
Depth Estimation (Q)
|
79% |
620
4.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1708
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1812
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3152
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
310
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.6 IPS |
|
|
Text Classification (HP)
|
100% |
47
62.9 IPS |
|
|
Text Classification (Q)
|
97% |
140
188.0 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
99% |
295
5.09 IPS |
|
|
Machine Translation (Q)
|
65% |
418
8.39 IPS |
