BLU M10L Pro
Geekbench AI Score
85
Single Precision Score
85
Half Precision Score
143
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 03:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | BLU M10L Pro |
| Model ID | BLU M10L Pro |
| Motherboard | ums312_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 3 Cores @ 1.82 GHz |
| Cluster 2 | 1 Core @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
48
8.93 IPS |
|
|
Image Classification (HP)
|
100% |
48
9.01 IPS |
|
|
Image Classification (Q)
|
99% |
91
17.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
66
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
109
1.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
95
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
199
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.85 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.87 IPS |
|
|
Object Detection (Q)
|
87% |
93
7.49 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.51 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.54 IPS |
|
|
Face Detection (Q)
|
97% |
239
2.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
116
0.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
187
1.70 IPS |
|
|
Style Transfer (SP)
|
100% |
210
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
211
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
424
0.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58
2.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.40 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.1 IPS |
|
|
Text Classification (HP)
|
100% |
67
88.8 IPS |
|
|
Text Classification (Q)
|
91% |
102
137.3 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (Q)
|
57% |
87
2.13 IPS |
