TECNO TECNO KL7
Geekbench AI Score
488
Single Precision Score
506
Half Precision Score
944
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:35 AM |
| Views | 1 |
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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1634
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
95% |
1469
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1492
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1849
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1854
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3747
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
903
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.4 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (Q)
|
88% |
484
653.4 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.9 IPS |
