TECNO TECNO KL7
Geekbench AI Score
507
Single Precision Score
474
Half Precision Score
944
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 01:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO KL7 |
| Model ID | TECNO TECNO KL7 |
| Motherboard | TECNO-KL7 |
| 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
717
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1631
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
634
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (Q)
|
95% |
1474
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
960
7.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1489
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1785
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1788
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3748
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.4 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.2 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.2 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.9 IPS |
