BLU B160V
Geekbench AI Score
176
Single Precision Score
181
Half Precision Score
191
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 29 2025 04:10 AM |
| Views | 5 |
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% |
79
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
100% |
134
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
191
3.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
277
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
80
6.36 IPS |
|
|
Object Detection (HP)
|
100% |
81
6.39 IPS |
|
|
Object Detection (Q)
|
83% |
113
9.11 IPS |
|
|
Face Detection (SP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.44 IPS |
|
|
Face Detection (Q)
|
95% |
214
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
313
2.87 IPS |
|
|
Style Transfer (SP)
|
89% |
635
0.82 IPS |
|
|
Style Transfer (HP)
|
89% |
768
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
569
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.16 IPS |
|
|
Text Classification (SP)
|
100% |
110
146.5 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.0 IPS |
|
|
Text Classification (Q)
|
88% |
134
180.7 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
50% |
86
3.04 IPS |
