Microsoft Corporation Surface Laptop for Business 13in 1st Ed with Snapdragon
Geekbench AI Score
1197
Single Precision Score
2227
Half Precision Score
4375
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 20 2025 04:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 13in 1st Ed with Snapdragon |
| Motherboard | Microsoft Corporation Surface Laptop for Business 13in 1st Ed with Snapdragon |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (Q)
|
99% |
3574
666.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5790
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4255
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
13789
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
99% |
1622
129.1 IPS |
|
|
Object Detection (Q)
|
86% |
4617
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
5712
67.9 IPS |
|
|
Face Detection (Q)
|
97% |
8699
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1613
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2631
20.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
7781
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8411
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8859
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25753
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.8 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.4 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1503
30.2 IPS |
