TECNO MOBILE TECNO Mobile BF7n
Geekbench AI Score
206
Single Precision Score
204
Half Precision Score
223
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 05:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6761V/WBB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TECNO MOBILE TECNO Mobile BF7n |
| Model ID | TECNO MOBILE TECNO Mobile BF7n |
| Motherboard | TECNO-Mobile-BF7n |
| CPU Information | |
|---|---|
| Name | ARM MT6761V/WBB |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
100% |
142
26.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
180
2.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
333
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.15 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.08 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.07 IPS |
|
|
Face Detection (Q)
|
95% |
393
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
340
3.11 IPS |
|
|
Style Transfer (SP)
|
89% |
844
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
856
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
829
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.15 IPS |
|
|
Text Classification (SP)
|
100% |
113
151.2 IPS |
|
|
Text Classification (HP)
|
100% |
109
146.0 IPS |
|
|
Text Classification (Q)
|
88% |
136
183.2 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.08 IPS |
