telechips TCC803X_LCN
Geekbench ML Score
55
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 19 2025 09:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | telechips TCC803X_LCN |
| Model ID | telechips TCC803X_LCN |
| Motherboard | tcc803x_android_avn |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
33
6.27 IPS |
|
|
Image Classification (F16)
|
100% |
51
9.46 IPS |
|
|
Image Classification (I8)
|
97% |
49
9.15 IPS |
|
|
Image Segmentation (F32)
|
100% |
44
0.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
64
1.07 IPS |
|
|
Image Segmentation (I8)
|
98% |
62
1.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
30
0.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
38
0.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
38
0.05 IPS |
|
|
Object Detection (F32)
|
100% |
30
2.23 IPS |
|
|
Object Detection (F16)
|
100% |
44
3.28 IPS |
|
|
Object Detection (I8)
|
62% |
44
3.25 IPS |
|
|
Face Detection (F32)
|
100% |
118
1.41 IPS |
|
|
Face Detection (F16)
|
98% |
160
1.91 IPS |
|
|
Face Detection (I8)
|
86% |
150
1.79 IPS |
|
|
Depth Estimation (F32)
|
100% |
64
0.50 IPS |
|
|
Depth Estimation (F16)
|
100% |
88
0.69 IPS |
|
|
Depth Estimation (I8)
|
95% |
82
0.63 IPS |
|
|
Style Transfer (F32)
|
100% |
119
0.16 IPS |
|
|
Style Transfer (F16)
|
100% |
169
0.22 IPS |
|
|
Style Transfer (I8)
|
98% |
169
0.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36
1.29 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
51
1.83 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
51
1.81 IPS |
|
|
Text Classification (F32)
|
100% |
24
34.3 IPS |
|
|
Text Classification (F16)
|
100% |
24
34.4 IPS |
|
|
Text Classification (I8)
|
92% |
32
45.4 IPS |
|
|
Machine Translation (F32)
|
100% |
47
0.87 IPS |
|
|
Machine Translation (F16)
|
100% |
47
0.86 IPS |
|
|
Machine Translation (I8)
|
64% |
45
0.83 IPS |
