Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon
Geekbench AI Score
1875
Single Precision Score
3094
Half Precision Score
6904
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 05 2025 06:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Laptop 13in 1st Ed with Snapdragon |
| Motherboard | Microsoft Corporation Surface Laptop 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
2692
500.6 IPS |
|
|
Image Classification (Q)
|
99% |
6258
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7048
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
16204
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (HP)
|
99% |
2206
175.5 IPS |
|
|
Object Detection (Q)
|
86% |
6009
482.9 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
7135
84.8 IPS |
|
|
Face Detection (Q)
|
97% |
10930
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2199
16.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3300
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13492
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10743
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10350
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28040
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
727
969.8 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
99% |
3018
52.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3154
63.4 IPS |
