Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1583
Single Precision Score
2509
Half Precision Score
5686
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Exiledfathom |
| Upload Date | February 12 2026 08:24 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
613
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
99% |
4051
755.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6592
107.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
15550
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (HP)
|
99% |
2121
168.7 IPS |
|
|
Object Detection (Q)
|
86% |
4820
387.4 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
5172
61.5 IPS |
|
|
Face Detection (Q)
|
97% |
7906
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2056
15.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3508
27.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
11632
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10853
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10657
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25109
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3851
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.2 IPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2173
37.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2246
45.1 IPS |
