TECNO TECNO CK6n
Geekbench AI Score
349
Single Precision Score
354
Half Precision Score
625
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO CK6n |
| Model ID | TECNO TECNO CK6n |
| Motherboard | TECNO-CK6n |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
100% |
497
92.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
832
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1456
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
83% |
492
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (Q)
|
95% |
1129
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
545
4.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1275
11.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1698
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1541
2.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2200
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.3 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.2 IPS |
|
|
Text Classification (Q)
|
88% |
170
229.4 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
50% |
108
3.82 IPS |
