telechips TCC803X_LCN
Geekbench ML Score
109
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 09:19 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
58
10.9 IPS |
|
|
Image Classification (F16)
|
100% |
58
10.9 IPS |
|
|
Image Classification (I8)
|
97% |
85
15.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
76
1.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
76
1.27 IPS |
|
|
Image Segmentation (I8)
|
98% |
88
1.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
115
0.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
213
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
60
4.48 IPS |
|
|
Object Detection (F16)
|
100% |
60
4.50 IPS |
|
|
Object Detection (I8)
|
61% |
92
6.84 IPS |
|
|
Face Detection (F32)
|
100% |
135
1.60 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.60 IPS |
|
|
Face Detection (I8)
|
86% |
219
2.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
127
0.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
126
0.98 IPS |
|
|
Depth Estimation (I8)
|
95% |
202
1.57 IPS |
|
|
Style Transfer (F32)
|
100% |
214
0.28 IPS |
|
|
Style Transfer (F16)
|
100% |
213
0.28 IPS |
|
|
Style Transfer (I8)
|
98% |
402
0.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
71
2.54 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
71
2.53 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
132
4.72 IPS |
|
|
Text Classification (F32)
|
100% |
74
105.8 IPS |
|
|
Text Classification (F16)
|
100% |
73
105.1 IPS |
|
|
Text Classification (I8)
|
92% |
71
102.5 IPS |
|
|
Machine Translation (F32)
|
100% |
141
2.60 IPS |
|
|
Machine Translation (F16)
|
100% |
139
2.56 IPS |
|
|
Machine Translation (I8)
|
64% |
83
1.52 IPS |
