BLU M10L Pro
Geekbench AI Score
126
Single Precision Score
129
Half Precision Score
170
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 02:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
55
10.3 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.4 IPS |
|
|
Image Classification (Q)
|
100% |
114
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
134
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
202
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.40 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.40 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.89 IPS |
|
|
Face Detection (SP)
|
100% |
188
2.24 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.24 IPS |
|
|
Face Detection (Q)
|
95% |
303
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
240
2.20 IPS |
|
|
Style Transfer (SP)
|
89% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
89% |
441
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
548
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.96 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.4 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.4 IPS |
|
|
Text Classification (Q)
|
88% |
116
156.6 IPS |
|
|
Machine Translation (SP)
|
100% |
133
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
50% |
99
3.52 IPS |
