TECNO TECNO CLA5
Geekbench AI Score
484
Single Precision Score
505
Half Precision Score
938
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 CLA5 |
| Model ID | TECNO TECNO CLA5 |
| Motherboard | TECNO-CLA5 |
| 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 | 5.54 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% |
642
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1630
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
629
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.73 IPS |
|
|
Face Detection (Q)
|
95% |
1460
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
806
6.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1484
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1846
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1842
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3725
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
901
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.4 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (Q)
|
88% |
480
646.8 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
