TECNO TECNO LJ6
Geekbench AI Score
390
Single Precision Score
382
Half Precision Score
689
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO LJ6 |
| Model ID | TECNO TECNO LJ6 |
| Motherboard | TECNO-LJ6 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
100% |
553
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
884
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1236
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
435
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
499
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
95% |
1055
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1172
10.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1481
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1364
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2860
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.1 IPS |
|
|
Text Classification (Q)
|
88% |
248
334.0 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
50% |
263
9.34 IPS |
