Geekbench ML Score

388
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date February 01 2025 07:57 PM
Views 49

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 CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 189
35.3 IPS
 
Image Classification (F16)
100% 185
34.7 IPS
 
Image Classification (I8)
97% 305
57.1 IPS
 
Image Segmentation (F32)
100% 284
4.75 IPS
 
Image Segmentation (F16)
100% 289
4.83 IPS
 
Image Segmentation (I8)
98% 413
6.90 IPS
 
Pose Estimation (F32)
100% 396
0.48 IPS
 
Pose Estimation (F16)
100% 393
0.48 IPS
 
Pose Estimation (I8)
100% 1811
2.19 IPS
 
Object Detection (F32)
100% 219
16.4 IPS
 
Object Detection (F16)
100% 219
16.4 IPS
 
Object Detection (I8)
61% 368
27.5 IPS
 
Face Detection (F32)
100% 437
5.19 IPS
 
Face Detection (F16)
100% 430
5.11 IPS
 
Face Detection (I8)
86% 872
10.4 IPS
 
Depth Estimation (F32)
100% 422
3.28 IPS
 
Depth Estimation (F16)
100% 423
3.28 IPS
 
Depth Estimation (I8)
95% 872
6.76 IPS
 
Style Transfer (F32)
100% 663
0.87 IPS
 
Style Transfer (F16)
100% 659
0.87 IPS
 
Style Transfer (I8)
98% 1878
2.47 IPS
 
Image Super-Resolution (F32)
100% 202
7.21 IPS
 
Image Super-Resolution (F16)
100% 228
8.13 IPS
 
Image Super-Resolution (I8)
98% 694
24.8 IPS
 
Text Classification (F32)
100% 233
334.1 IPS
 
Text Classification (F16)
100% 232
333.5 IPS
 
Text Classification (I8)
92% 203
291.5 IPS
 
Machine Translation (F32)
100% 409
7.53 IPS
 
Machine Translation (F16)
100% 410
7.54 IPS
 
Machine Translation (I8)
64% 210
3.86 IPS
 

Compare

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