Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
198
Single Precision Score
280
Half Precision Score
503
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 30 2025 07:24 AM |
| 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 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% |
66
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
237
44.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
282
4.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
1787
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.02 IPS |
|
|
Object Detection (HP)
|
99% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
278
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
97% |
652
7.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
98% |
333
2.58 IPS |
|
|
Depth Estimation (Q)
|
79% |
662
5.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1725
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
2000
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3641
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.21 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.4 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.8 IPS |
|
|
Text Classification (Q)
|
97% |
156
208.7 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (HP)
|
99% |
285
4.92 IPS |
|
|
Machine Translation (Q)
|
65% |
401
8.05 IPS |
