TECNO TECNO KL4
Geekbench AI Score
230
Single Precision Score
230
Half Precision Score
296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 11:50 AM |
| 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
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (Q)
|
100% |
201
37.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
249
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
382
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.66 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.94 IPS |
|
|
Face Detection (HP)
|
100% |
332
3.94 IPS |
|
|
Face Detection (Q)
|
95% |
554
6.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
445
3.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
431
3.95 IPS |
|
|
Style Transfer (SP)
|
89% |
832
1.08 IPS |
|
|
Style Transfer (HP)
|
89% |
835
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
982
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.77 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.6 IPS |
|
|
Text Classification (HP)
|
100% |
117
155.6 IPS |
|
|
Text Classification (Q)
|
88% |
187
252.1 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.90 IPS |
