TECNO TECNO BF7
Geekbench AI Score
142
Single Precision Score
148
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 17 2024 01:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6761V/WBB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TECNO TECNO BF7 |
| Model ID | TECNO TECNO BF7 |
| Motherboard | TECNO-BF7 |
| 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% |
42
7.75 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (Q)
|
100% |
103
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
174
2.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
242
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.89 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.85 IPS |
|
|
Object Detection (Q)
|
83% |
112
9.09 IPS |
|
|
Face Detection (SP)
|
100% |
199
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
95% |
311
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
212
1.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
164
1.51 IPS |
|
|
Style Transfer (SP)
|
89% |
702
0.91 IPS |
|
|
Style Transfer (HP)
|
89% |
602
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
569
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
130
4.81 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.3 IPS |
|
|
Text Classification (HP)
|
100% |
66
87.7 IPS |
|
|
Text Classification (Q)
|
88% |
86
116.2 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.23 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.33 IPS |
