TECNO TECNO LH7n
Geekbench AI Score
477
Single Precision Score
503
Half Precision Score
934
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO LH7n |
| Model ID | TECNO TECNO LH7n |
| Motherboard | TECNO-LH7n |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
641
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1605
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
626
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (Q)
|
95% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1469
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1834
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1843
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3692
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.4 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (Q)
|
88% |
473
638.3 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
