Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1146
Single Precision Score
1914
Half Precision Score
3863
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 24 2025 02:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
1633
303.8 IPS |
|
|
Image Classification (Q)
|
99% |
3703
690.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
10021
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
1016
80.9 IPS |
|
|
Object Detection (Q)
|
86% |
3159
253.9 IPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
6446
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1348
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2243
17.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
6092
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6341
8.15 IPS |
|
|
Style Transfer (HP)
|
100% |
6729
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
15722
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2173
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
535
713.9 IPS |
|
|
Text Classification (Q)
|
97% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1985
34.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2792
56.1 IPS |
