TECNO TECNO LJ7
Geekbench AI Score
839
Single Precision Score
827
Half Precision Score
1842
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO LJ7 |
| Model ID | TECNO TECNO LJ7 |
| Motherboard | TECNO-LJ7 |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
100% |
1371
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1828
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1857
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3456
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
83% |
1252
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
3136
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3087
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2988
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2972
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
7832
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1827
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.0 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.6 IPS |
|
|
Text Classification (Q)
|
88% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
