EmbedFire LubanCat-Zero
Geekbench ML Score
70
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 11:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | EmbedFire LubanCat-Zero |
| Model ID | EmbedFire LubanCat-Zero |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM EmbedFire |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
51
5.47 IPS |
|
|
Image Classification (F16)
|
100% |
51
5.43 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
100
0.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
100
0.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
282
1.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
34
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
32
0.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
50
0.20 IPS |
|
|
Object Detection (F32)
|
100% |
67
2.37 IPS |
|
|
Object Detection (F16)
|
100% |
67
2.36 IPS |
|
|
Object Detection (I8)
|
52% |
149
5.24 IPS |
|
|
Face Detection (F32)
|
100% |
105
1.21 IPS |
|
|
Face Detection (F16)
|
100% |
104
1.19 IPS |
|
|
Face Detection (I8)
|
75% |
206
2.36 IPS |
|
|
Text Classification (F32)
|
100% |
82
32.5 IPS |
|
|
Text Classification (F16)
|
100% |
82
32.5 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.15 IPS |
|
|
Machine Translation (F16)
|
100% |
13
2.05 IPS |
