TECNO TECNO CK7n
Geekbench AI Score
501
Single Precision Score
485
Half Precision Score
936
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 12:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO CK7n |
| Model ID | TECNO TECNO CK7n |
| Motherboard | TECNO-CK7n |
| 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
640
119.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1625
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
627
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
95% |
1462
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
927
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
718
5.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1472
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1797
2.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1791
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3696
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
897
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.0 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.5 IPS |
|
|
Text Classification (Q)
|
88% |
479
645.5 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
