Geekbench ML Score

401
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date May 31 2023 04:11 AM
Views 1

System Information

System Information
Operating System Android 13
Model motorola motorola edge 30
Model IDmotorola motorola edge 30
Motherboard dubai
Governorschedutil
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 23 Cores @ 2.40 GHz
Cluster 31 Core @ 2.52 GHz
Memory Information
Size 7.21 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 401
42.9 IPS
 
Image Classification (F16)
100% 404
43.3 IPS
 
Image Classification (I8)
81% 218
23.4 IPS
 
Image Segmentation (F32)
100% 632
3.90 IPS
 
Image Segmentation (F16)
100% 634
3.92 IPS
 
Image Segmentation (I8)
89% 912
5.63 IPS
 
Pose Estimation (F32)
100% 267
1.08 IPS
 
Pose Estimation (F16)
100% 265
1.07 IPS
 
Pose Estimation (I8)
80% 240
0.97 IPS
 
Object Detection (F32)
100% 424
14.9 IPS
 
Object Detection (F16)
100% 413
14.5 IPS
 
Object Detection (I8)
52% 328
11.5 IPS
 
Face Detection (F32)
100% 584
6.71 IPS
 
Face Detection (F16)
100% 583
6.69 IPS
 
Face Detection (I8)
75% 541
6.21 IPS
 
Text Classification (F32)
100% 251
99.4 IPS
 
Text Classification (F16)
100% 207
81.8 IPS
 
Machine Translation (F32)
100% 490
75.6 IPS
 
Machine Translation (F16)
100% 496
76.5 IPS
 

Compare

Set Baseline Geekbench 6 now available