Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
201
Single Precision Score
279
Half Precision Score
500
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 28 2025 04:08 PM |
| Views | 6 |
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% |
63
11.8 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
99% |
252
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
287
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
990
1.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
1748
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.06 IPS |
|
|
Object Detection (HP)
|
99% |
108
8.61 IPS |
|
|
Object Detection (Q)
|
86% |
242
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (Q)
|
97% |
671
8.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
98% |
346
2.67 IPS |
|
|
Depth Estimation (Q)
|
79% |
636
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1722
2.21 IPS |
|
|
Style Transfer (HP)
|
100% |
1869
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3501
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
332
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
88
116.8 IPS |
|
|
Text Classification (HP)
|
100% |
55
72.8 IPS |
|
|
Text Classification (Q)
|
97% |
150
201.4 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (HP)
|
99% |
294
5.08 IPS |
|
|
Machine Translation (Q)
|
65% |
435
8.74 IPS |
