Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1536
Single Precision Score
14863
Half Precision Score
35995
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Scientist75 |
| Upload Date | December 02 2025 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 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 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
9435
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
17204
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7941
128.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21673
352.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
71004
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
223982
262.5 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
10773
854.5 IPS |
|
|
Object Detection (Q)
|
92% |
20097
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
22546
267.9 IPS |
|
|
Face Detection (Q)
|
97% |
59225
706.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1856
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39303
302.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
93448
745.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9650
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53096
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
242420
312.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26173
966.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
53946
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1824
2.44 KIPS |
|
|
Text Classification (Q)
|
95% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (Q)
|
67% |
8471
164.9 IPS |
