BLU B135DL
Geekbench AI Score
173
Single Precision Score
171
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mblackstone |
| Upload Date | February 23 2025 12:00 AM |
| Views | 4 |
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% |
70
13.0 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
100% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
279
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.92 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.57 IPS |
|
|
Object Detection (Q)
|
83% |
126
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
219
2.60 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (Q)
|
95% |
339
4.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
284
2.61 IPS |
|
|
Style Transfer (SP)
|
89% |
710
0.92 IPS |
|
|
Style Transfer (HP)
|
89% |
707
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
686
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
160
5.92 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.1 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.7 IPS |
|
|
Text Classification (Q)
|
88% |
112
151.1 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.42 IPS |
|
|
Machine Translation (Q)
|
50% |
69
2.45 IPS |
