Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
196
Single Precision Score
14715
Half Precision Score
31159
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 29 2025 10:46 AM |
| Views | 9 |
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% |
63
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
9599
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
15302
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
7740
125.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15052
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
69975
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232807
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.97 IPS |
|
|
Object Detection (HP)
|
100% |
10123
803.0 IPS |
|
|
Object Detection (Q)
|
92% |
17920
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
193
2.29 IPS |
|
|
Face Detection (HP)
|
100% |
21636
257.1 IPS |
|
|
Face Detection (Q)
|
97% |
52573
626.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
233
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
41135
316.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
93890
749.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1689
2.17 IPS |
|
|
Style Transfer (HP)
|
98% |
56728
73.2 IPS |
|
|
Style Transfer (Q)
|
98% |
242968
313.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27019
997.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
53139
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
101
135.2 IPS |
|
|
Text Classification (HP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (Q)
|
95% |
2798
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (Q)
|
67% |
5036
98.0 IPS |
