Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2058
Single Precision Score
1513
Half Precision Score
5174
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 18 2024 02:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
4018
749.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2618
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1546
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
9355
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23093
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
848
67.3 IPS |
|
|
Object Detection (HP)
|
99% |
607
48.3 IPS |
|
|
Object Detection (Q)
|
88% |
4228
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (Q)
|
97% |
6228
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2555
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2415
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9063
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14865
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9303
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33750
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2255
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.7 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1674
28.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2639
58.9 IPS |
