Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1515
Single Precision Score
9451
Half Precision Score
15193
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | March 29 2025 08:44 PM |
| Views | 5 |
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% |
368
68.4 IPS |
|
|
Image Classification (HP)
|
100% |
10521
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16153
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
7161
116.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8176
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68817
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
239698
281.0 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
9823
779.2 IPS |
|
|
Object Detection (Q)
|
82% |
6652
538.4 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
22342
265.5 IPS |
|
|
Face Detection (Q)
|
97% |
45016
536.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2177
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20050
154.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
33722
274.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12254
15.8 IPS |
|
|
Style Transfer (HP)
|
23% |
1665
57.3 IPS |
|
|
Style Transfer (Q)
|
98% |
180471
232.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28696
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41335
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
95% |
737
988.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2656
45.8 IPS |
|
|
Machine Translation (Q)
|
37% |
373
36.3 IPS |
