Geekbench ML Score

330
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date February 01 2025 09:00 PM
Views 5

System Information

System Information
Operating System Android 15
Model motorola moto g power - 2025
Model IDmotorola moto g power - 2025
Motherboard vegas
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 7.48 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 134
25.1 IPS
 
Image Classification (F16)
100% 437
81.9 IPS
 
Image Classification (I8)
97% 68
12.8 IPS
 
Image Segmentation (F32)
100% 257
4.29 IPS
 
Image Segmentation (F16)
100% 484
8.08 IPS
 
Image Segmentation (I8)
98% 78
1.30 IPS
 
Pose Estimation (F32)
100% 895
1.08 IPS
 
Pose Estimation (F16)
100% 2077
2.52 IPS
 
Pose Estimation (I8)
87% 1213
1.47 IPS
 
Object Detection (F32)
100% 161
12.0 IPS
 
Object Detection (F16)
100% 344
25.7 IPS
 
Object Detection (I8)
51% 88
6.56 IPS
 
Face Detection (F32)
25% 706
8.40 IPS
 
Face Detection (F16)
25% 1011
12.0 IPS
 
Face Detection (I8)
87% 122
1.45 IPS
 
Depth Estimation (F32)
100% 373
2.90 IPS
 
Depth Estimation (F16)
74% 476
3.69 IPS
 
Depth Estimation (I8)
93% 350
2.71 IPS
 
Style Transfer (F32)
100% 725
0.95 IPS
 
Style Transfer (F16)
100% 1289
1.70 IPS
 
Style Transfer (I8)
98% 1689
2.22 IPS
 
Image Super-Resolution (F32)
100% 384
13.7 IPS
 
Image Super-Resolution (F16)
100% 904
32.3 IPS
 
Image Super-Resolution (I8)
98% 467
16.7 IPS
 
Text Classification (F32)
100% 86
124.0 IPS
 
Text Classification (F16)
100% 105
151.5 IPS
 
Text Classification (I8)
94% 86
124.2 IPS
 
Machine Translation (F32)
100% 231
4.25 IPS
 
Machine Translation (F16)
100% 237
4.36 IPS
 
Machine Translation (I8)
57% 155
2.85 IPS
 

Compare

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