TECNO TECNO KM4
Geekbench AI Score
222
Single Precision Score
222
Half Precision Score
293
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO KM4 |
| Model ID | TECNO TECNO KM4 |
| Motherboard | TECNO-KM4 |
| 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 | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
100% |
198
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
375
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (Q)
|
83% |
192
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (Q)
|
95% |
548
6.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
411
3.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
427
3.91 IPS |
|
|
Style Transfer (SP)
|
89% |
802
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
806
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
969
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
218
8.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.73 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.9 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (Q)
|
88% |
183
246.5 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.78 IPS |
