Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
200
Single Precision Score
14769
Half Precision Score
31198
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 03:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
62
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
9194
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
14747
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
7575
122.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15455
251.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
69641
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232161
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (HP)
|
100% |
10214
810.2 IPS |
|
|
Object Detection (Q)
|
92% |
16664
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (HP)
|
100% |
21790
258.9 IPS |
|
|
Face Detection (Q)
|
97% |
49571
591.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
40755
314.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
93330
744.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1765
2.27 IPS |
|
|
Style Transfer (HP)
|
98% |
56530
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
248181
320.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27102
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55582
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.4 IPS |
|
|
Text Classification (HP)
|
100% |
2124
2.84 KIPS |
|
|
Text Classification (Q)
|
95% |
3193
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (Q)
|
67% |
4862
94.6 IPS |
