Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench ML Score
2928
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 15 2024 06:34 PM |
| Views | 2 |
System Information
| 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 | 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 |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
685
128.2 IPS |
|
|
Image Classification (F16)
|
100% |
700
130.9 IPS |
|
|
Image Classification (I8)
|
99% |
3994
747.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
814
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2290
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6532
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
5994
7.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
25941
31.4 IPS |
|
|
Object Detection (F32)
|
100% |
921
68.8 IPS |
|
|
Object Detection (F16)
|
100% |
912
68.1 IPS |
|
|
Object Detection (I8)
|
65% |
3417
255.1 IPS |
|
|
Face Detection (F32)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (I8)
|
89% |
6255
74.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2485
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2464
19.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14713
114.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13937
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14169
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
33595
44.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2524
90.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2497
89.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3837
137.0 IPS |
|
|
Text Classification (F32)
|
100% |
1472
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1472
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1163
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2138
39.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2121
39.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3291
60.6 IPS |
