TECNO TECNO CL7
Geekbench ML Score
423
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 02:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO CL7 |
| Model ID | TECNO TECNO CL7 |
| Motherboard | TECNO-CL7 |
| Governor | sugov_ext |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
37.5 IPS |
|
|
Image Classification (F16)
|
100% |
206
38.5 IPS |
|
|
Image Classification (I8)
|
97% |
408
76.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
288
4.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
289
4.83 IPS |
|
|
Image Segmentation (I8)
|
98% |
484
8.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
405
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
404
0.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
1933
2.34 IPS |
|
|
Object Detection (F32)
|
100% |
219
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
217
16.2 IPS |
|
|
Object Detection (I8)
|
61% |
434
32.4 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.32 IPS |
|
|
Face Detection (F16)
|
100% |
446
5.31 IPS |
|
|
Face Detection (I8)
|
86% |
1016
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
443
3.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
995
7.72 IPS |
|
|
Style Transfer (F32)
|
100% |
730
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
744
0.98 IPS |
|
|
Style Transfer (I8)
|
98% |
2089
2.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
251
8.95 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
255
9.11 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
657
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
225
322.9 IPS |
|
|
Text Classification (F16)
|
100% |
223
320.9 IPS |
|
|
Text Classification (I8)
|
92% |
207
297.2 IPS |
|
|
Machine Translation (F32)
|
100% |
496
9.13 IPS |
|
|
Machine Translation (F16)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (I8)
|
64% |
306
5.63 IPS |
