Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1962
Single Precision Score
9471
Half Precision Score
20617
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | March 29 2025 09:46 PM |
| Views | 9 |
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 | High performance |
| 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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
10753
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
16788
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7519
121.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5992
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5332
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
70277
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
238479
279.5 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
11185
887.2 IPS |
|
|
Object Detection (Q)
|
82% |
15593
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
12437
147.8 IPS |
|
|
Face Detection (Q)
|
97% |
46140
550.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2275
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41839
322.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
83664
679.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13823
17.8 IPS |
|
|
Style Transfer (HP)
|
23% |
2761
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
179739
231.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11669
430.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41222
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
95% |
3413
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
37% |
380
37.0 IPS |
