Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
196
Single Precision Score
14703
Half Precision Score
31275
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 02 2025 02:25 PM |
| Views | 6 |
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% |
58
10.8 IPS |
|
|
Image Classification (HP)
|
100% |
9440
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
14607
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7570
122.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14727
239.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
70152
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232676
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.54 IPS |
|
|
Object Detection (HP)
|
100% |
10177
807.3 IPS |
|
|
Object Detection (Q)
|
92% |
16805
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
22495
267.3 IPS |
|
|
Face Detection (Q)
|
97% |
52993
631.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
40194
309.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
96768
772.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1815
2.33 IPS |
|
|
Style Transfer (HP)
|
98% |
56589
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
248286
320.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27301
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54789
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
98
131.1 IPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
95% |
3068
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (Q)
|
67% |
4975
96.8 IPS |
