BLU B135DL
Geekbench AI Score
198
Single Precision Score
196
Half Precision Score
217
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 03:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6761V/CAB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | BLU B135DL |
| Model ID | BLU B135DL |
| Motherboard | BLU |
| CPU Information | |
|---|---|
| Name | ARM MT6761V/CAB |
| 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 | 2.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
100% |
140
26.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
433
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
310
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.56 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (Q)
|
83% |
143
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (HP)
|
100% |
240
2.85 IPS |
|
|
Face Detection (Q)
|
95% |
392
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
329
3.02 IPS |
|
|
Style Transfer (SP)
|
89% |
768
1.00 IPS |
|
|
Style Transfer (HP)
|
89% |
795
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
783
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
185
6.84 IPS |
|
|
Text Classification (SP)
|
100% |
105
139.7 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.2 IPS |
|
|
Text Classification (Q)
|
88% |
131
177.3 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (Q)
|
50% |
81
2.89 IPS |
