Microsoft Surface Laptop, 7th Edition Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1913
Single Precision Score
15897
Half Precision Score
37734
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Pipsos |
| Upload Date | August 14 2025 03:59 PM |
| Views | 6 |
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 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Ausbalanciert |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (HP)
|
100% |
10446
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
17712
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8042
130.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20543
334.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
69533
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
243474
285.4 IPS |
|
|
Object Detection (SP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (HP)
|
100% |
11589
919.3 IPS |
|
|
Object Detection (Q)
|
92% |
21156
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
24075
286.1 IPS |
|
|
Face Detection (Q)
|
97% |
62940
750.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2220
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41056
316.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
105176
839.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13505
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53866
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
250846
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27519
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59002
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
95% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (Q)
|
67% |
8473
164.9 IPS |
