TECNO TECNO BF7
Geekbench AI Score
152
Single Precision Score
156
Half Precision Score
175
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 01:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6761V/WBB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TECNO 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% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
100% |
117
21.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
182
2.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
241
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.76 IPS |
|
|
Object Detection (HP)
|
100% |
63
4.99 IPS |
|
|
Object Detection (Q)
|
83% |
106
8.58 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.11 IPS |
|
|
Face Detection (HP)
|
100% |
153
1.82 IPS |
|
|
Face Detection (Q)
|
95% |
289
3.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
225
1.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
235
2.16 IPS |
|
|
Style Transfer (SP)
|
89% |
571
0.74 IPS |
|
|
Style Transfer (HP)
|
89% |
613
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
680
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
166
6.14 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.7 IPS |
|
|
Text Classification (HP)
|
100% |
94
124.8 IPS |
|
|
Text Classification (Q)
|
88% |
110
148.3 IPS |
|
|
Machine Translation (SP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.51 IPS |
|
|
Machine Translation (Q)
|
50% |
60
2.12 IPS |
