TECNO TECNO KL4
Geekbench AI Score
227
Single Precision Score
228
Half Precision Score
295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO KL4 |
| Model ID | TECNO TECNO KL4 |
| Motherboard | TECNO-KL4 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (Q)
|
100% |
199
36.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
249
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
382
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.65 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
95% |
552
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
430
3.94 IPS |
|
|
Style Transfer (SP)
|
89% |
829
1.08 IPS |
|
|
Style Transfer (HP)
|
89% |
810
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
983
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.78 IPS |
|
|
Text Classification (SP)
|
100% |
118
156.8 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.5 IPS |
|
|
Text Classification (Q)
|
88% |
185
249.9 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
50% |
137
4.86 IPS |
