Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
216
Single Precision Score
14650
Half Precision Score
32075
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 02 2025 02:39 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% |
68
12.6 IPS |
|
|
Image Classification (HP)
|
100% |
9408
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
15959
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
7795
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16536
268.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
70099
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
239130
280.3 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.73 IPS |
|
|
Object Detection (HP)
|
100% |
10747
852.4 IPS |
|
|
Object Detection (Q)
|
92% |
18336
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
235
2.79 IPS |
|
|
Face Detection (HP)
|
100% |
21364
253.8 IPS |
|
|
Face Detection (Q)
|
97% |
51992
620.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
40866
314.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
93607
747.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1764
2.27 IPS |
|
|
Style Transfer (HP)
|
98% |
56607
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
245144
316.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26900
993.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
54523
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
95% |
2996
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (Q)
|
67% |
5112
99.5 IPS |
