Microsoft Corporation Subsystem for Android(TM)
Geekbench ML Score
218
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | January 10 2024 09:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Microsoft Corporation Subsystem for Android(TM) |
| Model ID | Microsoft Corporation Subsystem for Android(TM) |
| Motherboard | windows |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 16 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 16 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 5.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
245
26.2 IPS |
|
|
Image Classification (F16)
|
100% |
250
26.8 IPS |
|
|
Image Classification (I8)
|
81% |
84
8.99 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
244
1.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
147
0.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
37
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
378
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
384
13.5 IPS |
|
|
Object Detection (I8)
|
52% |
120
4.22 IPS |
|
|
Face Detection (F32)
|
100% |
435
5.00 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.00 IPS |
|
|
Face Detection (I8)
|
75% |
88
1.01 IPS |
|
|
Text Classification (F32)
|
100% |
329
130.0 IPS |
|
|
Text Classification (F16)
|
100% |
336
132.8 IPS |
|
|
Machine Translation (F32)
|
100% |
484
74.6 IPS |
|
|
Machine Translation (F16)
|
100% |
491
75.7 IPS |
