Google dedede
Geekbench ML Score
118
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2023 08:02 AM |
| Views | 40 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google dedede |
| Model ID | Google dedede |
| Motherboard | drawlat |
| 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 | 6.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
145
15.5 IPS |
|
|
Image Classification (F16)
|
100% |
138
14.7 IPS |
|
|
Image Classification (I8)
|
81% |
84
8.96 IPS |
|
|
Image Segmentation (F32)
|
100% |
161
0.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
173
1.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
35
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
136
4.78 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.37 IPS |
|
|
Object Detection (I8)
|
52% |
104
3.65 IPS |
|
|
Face Detection (F32)
|
100% |
169
1.94 IPS |
|
|
Face Detection (F16)
|
100% |
162
1.86 IPS |
|
|
Face Detection (I8)
|
75% |
90
1.03 IPS |
|
|
Text Classification (F32)
|
100% |
117
46.1 IPS |
|
|
Text Classification (F16)
|
100% |
123
48.6 IPS |
|
|
Machine Translation (F32)
|
100% |
239
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
225
34.6 IPS |
