BLU B160V
Geekbench AI Score
134
Single Precision Score
162
Half Precision Score
168
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | December 13 2025 12:31 AM |
| 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% |
38
7.16 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
100% |
129
24.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
260
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.18 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.29 IPS |
|
|
Object Detection (Q)
|
83% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (Q)
|
95% |
374
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
295
2.70 IPS |
|
|
Style Transfer (SP)
|
89% |
755
0.98 IPS |
|
|
Style Transfer (HP)
|
89% |
795
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
734
0.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
95
3.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
103
3.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
90
3.33 IPS |
|
|
Text Classification (SP)
|
100% |
36
48.6 IPS |
|
|
Text Classification (HP)
|
100% |
43
57.0 IPS |
|
|
Text Classification (Q)
|
88% |
38
50.6 IPS |
|
|
Machine Translation (SP)
|
100% |
60
1.04 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (Q)
|
50% |
75
2.67 IPS |
