Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
191
Single Precision Score
14470
Half Precision Score
30360
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 06 2025 03:06 PM |
| Views | 4 |
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
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
9086
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
15410
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
7599
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14880
242.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
673
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
69212
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
226117
265.0 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.90 IPS |
|
|
Object Detection (HP)
|
100% |
9540
756.7 IPS |
|
|
Object Detection (Q)
|
92% |
16002
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (HP)
|
100% |
20913
248.5 IPS |
|
|
Face Detection (Q)
|
97% |
47872
570.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
235
1.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
40246
310.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
90969
726.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1630
2.10 IPS |
|
|
Style Transfer (HP)
|
98% |
56512
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
238747
307.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27150
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54571
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
87
115.5 IPS |
|
|
Text Classification (HP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (Q)
|
95% |
3037
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (HP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (Q)
|
67% |
4655
90.6 IPS |
