TECNO TECNO CK8nB
Geekbench AI Score
706
Single Precision Score
696
Half Precision Score
1458
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 11:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO CK8nB |
| Model ID | TECNO TECNO CK8nB |
| Motherboard | TECNO-CK8nB |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
100% |
1065
198.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1143
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1488
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2728
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
83% |
997
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2432
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1132
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1160
8.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2463
22.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2789
3.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2932
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6397
8.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
364
485.5 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.8 IPS |
|
|
Text Classification (Q)
|
88% |
674
909.2 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
