Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
331
Single Precision Score
438
Half Precision Score
759
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 22 2025 08:16 AM |
| Views | 7 |
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% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.1 IPS |
|
|
Image Classification (Q)
|
99% |
3908
728.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1783
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
1802
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.50 IPS |
|
|
Object Detection (HP)
|
99% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
86% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (Q)
|
97% |
640
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
326
2.52 IPS |
|
|
Depth Estimation (Q)
|
79% |
633
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1680
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1818
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3389
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
90
119.8 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.5 IPS |
|
|
Text Classification (Q)
|
97% |
120
161.0 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
99% |
312
5.39 IPS |
|
|
Machine Translation (Q)
|
65% |
423
8.50 IPS |
