Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1958
Single Precision Score
3065
Half Precision Score
6269
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | samuelgibbs |
| Upload Date | May 30 2025 10:02 AM |
| Views | 2 |
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% |
696
129.5 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.4 IPS |
|
|
Image Classification (Q)
|
99% |
6348
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2185
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4700
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6712
7.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
16864
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
99% |
1774
141.1 IPS |
|
|
Object Detection (Q)
|
86% |
5912
475.1 IPS |
|
|
Face Detection (SP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
7163
85.1 IPS |
|
|
Face Detection (Q)
|
97% |
11249
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2314
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3589
27.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
10812
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11474
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10847
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31070
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3737
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.0 IPS |
|
|
Text Classification (Q)
|
97% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2950
51.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3773
75.8 IPS |
