TECNO TECNO KJ5
Geekbench AI Score
346
Single Precision Score
340
Half Precision Score
622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 04:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | TECNO TECNO KJ5 |
| Model ID | TECNO TECNO KJ5 |
| Motherboard | TECNO-KJ5 |
| CPU Information | |
|---|---|
| Name | ARM MT6769 |
| 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 | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
478
88.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1481
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
439
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (Q)
|
95% |
1067
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
970
8.89 IPS |
|
|
Style Transfer (SP)
|
89% |
1474
1.91 IPS |
|
|
Style Transfer (HP)
|
89% |
1557
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3029
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (Q)
|
88% |
213
287.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (Q)
|
50% |
122
4.31 IPS |
