TECNO TECNO LJ9
Geekbench AI Score
1784
Single Precision Score
1767
Half Precision Score
2887
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 06:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO LJ9 |
| Model ID | TECNO TECNO LJ9 |
| Motherboard | TECNO-LJ9 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (Q)
|
100% |
2414
448.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2416
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2632
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
6129
7.27 IPS |
|
|
Object Detection (SP)
|
98% |
1227
97.6 IPS |
|
|
Object Detection (HP)
|
98% |
1273
101.3 IPS |
|
|
Object Detection (Q)
|
83% |
2008
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4572
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2402
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2427
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4816
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6425
8.34 IPS |
|
|
Style Transfer (HP)
|
89% |
6220
8.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13145
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3051
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
668
892.1 IPS |
|
|
Text Classification (HP)
|
99% |
662
883.6 IPS |
|
|
Text Classification (Q)
|
88% |
1156
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
