BLU B160V
Geekbench AI Score
209
Single Precision Score
213
Half Precision Score
226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 08:33 PM |
| Views | 1 |
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
18.5 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
100% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
208
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
325
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.29 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.27 IPS |
|
|
Object Detection (Q)
|
83% |
147
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
95% |
374
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
348
2.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
345
3.16 IPS |
|
|
Style Transfer (SP)
|
89% |
874
1.13 IPS |
|
|
Style Transfer (HP)
|
89% |
871
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
838
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.24 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.5 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.1 IPS |
|
|
Text Classification (Q)
|
88% |
133
179.2 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.09 IPS |
