TECNO TECNO BF7
Geekbench AI Score
184
Single Precision Score
191
Half Precision Score
209
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 21 2024 03:12 PM |
| Views | 64 |
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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
100% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
175
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
301
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.46 IPS |
|
|
Object Detection (Q)
|
83% |
144
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
199
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
219
2.61 IPS |
|
|
Face Detection (Q)
|
95% |
345
4.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
335
3.07 IPS |
|
|
Style Transfer (SP)
|
89% |
844
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
773
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
708
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
190
7.05 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.3 IPS |
|
|
Text Classification (HP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (Q)
|
88% |
134
180.1 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.96 IPS |
