Microsoft Corporation Surface Laptop for Business 13in 1st Ed with Snapdragon
Geekbench AI Score
1271
Single Precision Score
2392
Half Precision Score
5196
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 20 2025 04:23 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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (Q)
|
99% |
4375
816.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5769
93.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4254
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6210
7.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
13426
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
99% |
1968
156.6 IPS |
|
|
Object Detection (Q)
|
86% |
4651
373.8 IPS |
|
|
Face Detection (SP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
5951
70.7 IPS |
|
|
Face Detection (Q)
|
97% |
8790
104.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1318
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2668
20.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
10924
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10543
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8673
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26536
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3347
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.7 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.2 IPS |
|
|
Text Classification (Q)
|
97% |
522
698.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2060
35.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2047
41.1 IPS |
