TECNO TECNO CK7n
Geekbench AI Score
320
Single Precision Score
537
Half Precision Score
461
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 12:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
97% |
314
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
2256
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
99% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
357
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
688
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
1249
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.66 IPS |
|
|
Depth Estimation (HP)
|
98% |
1684
13.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1318
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2150
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4477
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4376
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
846
31.4 IPS |
|
|
Text Classification (SP)
|
29% |
5
82.4 IPS |
|
|
Text Classification (HP)
|
29% |
5
89.2 IPS |
|
|
Text Classification (Q)
|
33% |
7
86.8 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.65 IPS |
