Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1949
Single Precision Score
3079
Half Precision Score
6080
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 10:13 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% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
2438
453.4 IPS |
|
|
Image Classification (Q)
|
99% |
6343
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
14468
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
99% |
2198
174.9 IPS |
|
|
Object Detection (Q)
|
86% |
5893
473.6 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
7130
84.7 IPS |
|
|
Face Detection (Q)
|
97% |
10900
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2373
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3624
28.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
10938
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11124
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10269
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28126
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
684
913.3 IPS |
|
|
Text Classification (Q)
|
97% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2443
42.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2847
49.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3710
74.5 IPS |
