Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
196
Single Precision Score
265
Half Precision Score
480
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 28 2025 04:20 PM |
| 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% |
62
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
938
1.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
1723
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.11 IPS |
|
|
Object Detection (HP)
|
99% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
247
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
97% |
635
7.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
243
1.87 IPS |
|
|
Depth Estimation (HP)
|
98% |
329
2.54 IPS |
|
|
Depth Estimation (Q)
|
79% |
661
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1742
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1887
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3379
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.64 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
313
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
89
119.3 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.9 IPS |
|
|
Text Classification (Q)
|
97% |
121
162.0 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (HP)
|
99% |
283
4.89 IPS |
|
|
Machine Translation (Q)
|
65% |
428
8.60 IPS |
