Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
195
Single Precision Score
333
Half Precision Score
608
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 30 2025 08:15 AM |
| Views | 7 |
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
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
225
41.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
1762
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.96 IPS |
|
|
Object Detection (HP)
|
99% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
86% |
239
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
200
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (Q)
|
97% |
705
8.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
98% |
338
2.61 IPS |
|
|
Depth Estimation (Q)
|
79% |
674
5.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1843
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3580
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
306
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
78
103.8 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.5 IPS |
|
|
Text Classification (Q)
|
97% |
153
204.3 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
99% |
1799
31.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2948
59.2 IPS |
