BLU B160V
Geekbench AI Score
211
Single Precision Score
211
Half Precision Score
228
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | davidofun |
| Upload Date | September 03 2025 01:31 AM |
| Views | 6 |
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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
100% |
148
27.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
208
3.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
338
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.07 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (Q)
|
95% |
404
4.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
347
3.17 IPS |
|
|
Style Transfer (SP)
|
89% |
867
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
860
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
829
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.28 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.9 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.8 IPS |
|
|
Text Classification (Q)
|
88% |
132
177.5 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (Q)
|
50% |
86
3.05 IPS |
