BLU B160V
Geekbench AI Score
190
Single Precision Score
182
Half Precision Score
207
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | December 12 2025 09:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6761 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | BLU B160V |
| Model ID | BLU B160V |
| Motherboard | B160V |
| CPU Information | |
|---|---|
| Name | ARM MT6761 |
| 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 | 2.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
100% |
146
27.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
99
1.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
300
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.81 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.12 IPS |
|
|
Object Detection (Q)
|
83% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
95% |
399
4.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
334
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
345
3.16 IPS |
|
|
Style Transfer (SP)
|
89% |
868
1.13 IPS |
|
|
Style Transfer (HP)
|
89% |
865
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
816
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
192
7.12 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.3 IPS |
|
|
Text Classification (HP)
|
100% |
104
139.5 IPS |
|
|
Text Classification (Q)
|
88% |
129
174.2 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.01 IPS |
