Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1880
Single Precision Score
3095
Half Precision Score
6157
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 09:59 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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.0 IPS |
|
|
Image Classification (Q)
|
99% |
6133
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5783
6.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
15368
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
806
64.0 IPS |
|
|
Object Detection (HP)
|
99% |
2246
178.7 IPS |
|
|
Object Detection (Q)
|
86% |
5961
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
7207
85.6 IPS |
|
|
Face Detection (Q)
|
97% |
11391
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2328
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3667
28.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
10635
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10895
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10436
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29099
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3776
139.8 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.9 IPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2954
51.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3710
74.5 IPS |
