Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1681
Single Precision Score
2684
Half Precision Score
6037
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | ptmeza |
| Upload Date | December 04 2025 04:01 PM |
| Views | 19 |
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 | Balanced |
| 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% |
566
105.3 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
99% |
4489
837.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6599
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4625
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6947
8.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
16922
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (HP)
|
99% |
2118
168.5 IPS |
|
|
Object Detection (Q)
|
86% |
4790
385.0 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
97% |
9762
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2092
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3634
28.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
12059
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11342
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10886
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30566
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3857
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2115
36.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2239
45.0 IPS |
