Google nami
Geekbench ML Score
168
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 02:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google nami |
| Model ID | Google nami |
| Motherboard | vayne |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
160
17.2 IPS |
|
|
Image Classification (F16)
|
100% |
160
17.2 IPS |
|
|
Image Classification (I8)
|
81% |
75
8.08 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
212
1.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
160
0.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
36
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
188
6.61 IPS |
|
|
Object Detection (F16)
|
100% |
207
7.28 IPS |
|
|
Object Detection (I8)
|
52% |
104
3.66 IPS |
|
|
Face Detection (F32)
|
100% |
263
3.02 IPS |
|
|
Face Detection (F16)
|
100% |
259
2.98 IPS |
|
|
Face Detection (I8)
|
75% |
111
1.28 IPS |
|
|
Text Classification (F32)
|
100% |
301
119.2 IPS |
|
|
Text Classification (F16)
|
100% |
301
118.9 IPS |
|
|
Machine Translation (F32)
|
100% |
485
74.8 IPS |
|
|
Machine Translation (F16)
|
100% |
489
75.4 IPS |
