TECNO TECNO CL8
Geekbench AI Score
1014
Single Precision Score
1033
Half Precision Score
1938
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 03:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO CL8 |
| Model ID | TECNO TECNO CL8 |
| Motherboard | TECNO-CL8 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
100% |
1537
285.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1795
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1718
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3477
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
83% |
1235
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
2989
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1708
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1905
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3125
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3908
5.07 IPS |
|
|
Style Transfer (HP)
|
89% |
3783
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
8112
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1943
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
538
717.8 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.8 IPS |
|
|
Text Classification (Q)
|
88% |
932
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
