Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1509
Single Precision Score
2332
Half Precision Score
5449
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | ptmeza |
| Upload Date | February 22 2026 12:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon |
| Motherboard | Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Snapdragon X Plus (8-core) @ 3.30 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
559
103.9 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.1 IPS |
|
|
Image Classification (Q)
|
99% |
3748
699.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
2761
44.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6408
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4554
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
13828
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
99% |
1496
119.0 IPS |
|
|
Object Detection (Q)
|
86% |
4190
336.8 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
9692
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1780
13.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3355
25.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
9950
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11439
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10686
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27568
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3026
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.2 IPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2307
39.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2168
43.6 IPS |
