Google dedede
Geekbench ML Score
97
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google dedede |
| Model ID | Google dedede |
| Motherboard | madoo |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 2 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.2 IPS |
|
|
Image Classification (I8)
|
81% |
64
6.81 IPS |
|
|
Image Segmentation (F32)
|
100% |
130
0.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
129
0.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
116
0.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
34
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
26
0.10 IPS |
|
|
Object Detection (F32)
|
100% |
117
4.11 IPS |
|
|
Object Detection (F16)
|
100% |
118
4.13 IPS |
|
|
Object Detection (I8)
|
52% |
87
3.06 IPS |
|
|
Face Detection (F32)
|
100% |
149
1.72 IPS |
|
|
Face Detection (F16)
|
100% |
154
1.77 IPS |
|
|
Face Detection (I8)
|
75% |
77
0.88 IPS |
|
|
Text Classification (F32)
|
100% |
117
46.1 IPS |
|
|
Text Classification (F16)
|
100% |
130
51.4 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
245
37.7 IPS |
