Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
235
Single Precision Score
327
Half Precision Score
596
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 03:55 AM |
| Views | 1 |
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% |
78
14.4 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
99% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
1973
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
88
7.02 IPS |
|
|
Object Detection (HP)
|
99% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
86% |
308
24.8 IPS |
|
|
Face Detection (SP)
|
100% |
241
2.87 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
97% |
820
9.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
406
3.14 IPS |
|
|
Depth Estimation (Q)
|
79% |
804
6.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1932
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2083
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3568
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
210
7.77 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
118
156.9 IPS |
|
|
Text Classification (HP)
|
100% |
68
91.0 IPS |
|
|
Text Classification (Q)
|
97% |
187
249.9 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
99% |
357
6.16 IPS |
|
|
Machine Translation (Q)
|
65% |
512
10.3 IPS |
