Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1681
Single Precision Score
2613
Half Precision Score
5195
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | mnkellyk2 |
| Upload Date | April 27 2025 02:20 PM |
| Views | 11 |
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 Pro (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% |
632
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
2597
482.9 IPS |
|
|
Image Classification (Q)
|
99% |
4927
919.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1313
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
17364
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (HP)
|
99% |
1851
147.2 IPS |
|
|
Object Detection (Q)
|
86% |
5083
408.5 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
6607
78.5 IPS |
|
|
Face Detection (Q)
|
97% |
7668
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1917
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2953
22.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10239
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11044
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10299
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32197
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3598
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
599
799.7 IPS |
|
|
Text Classification (Q)
|
97% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2381
41.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2472
49.7 IPS |
