telechips TCC8070_AVN
Geekbench ML Score
375
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 07:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | telechips TCC8070_AVN |
| Model ID | telechips TCC8070_AVN |
| Motherboard | tcc807x_android_avn |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
275
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
517
96.7 IPS |
|
|
Image Classification (I8)
|
97% |
497
92.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
6.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
596
9.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
245
0.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
245
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
226
16.9 IPS |
|
|
Object Detection (F16)
|
100% |
365
27.2 IPS |
|
|
Object Detection (I8)
|
62% |
366
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
933
11.1 IPS |
|
|
Face Detection (F16)
|
98% |
1444
17.2 IPS |
|
|
Face Detection (I8)
|
86% |
1363
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
415
3.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
561
4.35 IPS |
|
|
Depth Estimation (I8)
|
95% |
557
4.32 IPS |
|
|
Style Transfer (F32)
|
100% |
834
1.10 IPS |
|
|
Style Transfer (F16)
|
100% |
1229
1.62 IPS |
|
|
Style Transfer (I8)
|
98% |
1228
1.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
260
9.29 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
403
14.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
400
14.3 IPS |
|
|
Text Classification (F32)
|
100% |
74
106.4 IPS |
|
|
Text Classification (F16)
|
100% |
74
106.4 IPS |
|
|
Text Classification (I8)
|
92% |
163
233.5 IPS |
|
|
Machine Translation (F32)
|
100% |
143
2.64 IPS |
|
|
Machine Translation (F16)
|
100% |
145
2.68 IPS |
|
|
Machine Translation (I8)
|
64% |
192
3.54 IPS |
