Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
184
Single Precision Score
252
Half Precision Score
443
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 22 2025 09:16 AM |
| Views | 2 |
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% |
56
10.4 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
1619
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.53 IPS |
|
|
Object Detection (HP)
|
99% |
121
9.59 IPS |
|
|
Object Detection (Q)
|
86% |
217
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
186
2.21 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
531
6.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
221
1.70 IPS |
|
|
Depth Estimation (HP)
|
98% |
328
2.53 IPS |
|
|
Depth Estimation (Q)
|
79% |
587
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
2141
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3104
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
312
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.3 IPS |
|
|
Text Classification (HP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (Q)
|
97% |
142
190.8 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
99% |
266
4.60 IPS |
|
|
Machine Translation (Q)
|
65% |
362
7.28 IPS |
