Geekbench ML Score

192
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date January 23 2025 10:38 PM
Views 3

System Information

System Information
Operating System Android 15
Model motorola moto g - 2025
Model IDmotorola moto g - 2025
Motherboard kansas
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 105
19.6 IPS
 
Image Classification (F16)
100% 190
35.5 IPS
 
Image Classification (I8)
97% 166
31.0 IPS
 
Image Segmentation (F32)
100% 137
2.29 IPS
 
Image Segmentation (F16)
100% 239
3.99 IPS
 
Image Segmentation (I8)
98% 233
3.89 IPS
 
Pose Estimation (F32)
100% 93
0.11 IPS
 
Pose Estimation (F16)
100% 112
0.14 IPS
 
Pose Estimation (I8)
100% 112
0.14 IPS
 
Object Detection (F32)
100% 83
6.19 IPS
 
Object Detection (F16)
100% 131
9.78 IPS
 
Object Detection (I8)
62% 121
9.05 IPS
 
Face Detection (F32)
100% 312
3.70 IPS
 
Face Detection (F16)
98% 441
5.24 IPS
 
Face Detection (I8)
86% 430
5.11 IPS
 
Depth Estimation (F32)
100% 185
1.44 IPS
 
Depth Estimation (F16)
100% 243
1.88 IPS
 
Depth Estimation (I8)
95% 240
1.86 IPS
 
Style Transfer (F32)
100% 364
0.48 IPS
 
Style Transfer (F16)
100% 512
0.67 IPS
 
Style Transfer (I8)
98% 512
0.67 IPS
 
Image Super-Resolution (F32)
100% 98
3.50 IPS
 
Image Super-Resolution (F16)
100% 153
5.45 IPS
 
Image Super-Resolution (I8)
98% 152
5.42 IPS
 
Text Classification (F32)
100% 133
191.7 IPS
 
Text Classification (F16)
100% 133
191.7 IPS
 
Text Classification (I8)
92% 248
356.8 IPS
 
Machine Translation (F32)
100% 229
4.21 IPS
 
Machine Translation (F16)
100% 225
4.14 IPS
 
Machine Translation (I8)
64% 268
4.94 IPS
 

Compare

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