Geekbench ML Score

477
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 28 2024 08:49 PM
Views 1

System Information

System Information
Operating System Android 14
Model samsung SM-A166P
Model IDsamsung SM-A166P
Motherboard a16xm
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 3.38 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 312
33.4 IPS
 
Image Classification (F16)
100% 586
62.7 IPS
 
Image Classification (I8)
80% 516
55.3 IPS
 
Image Segmentation (F32)
100% 647
4.00 IPS
 
Image Segmentation (F16)
100% 1239
7.65 IPS
 
Image Segmentation (I8)
89% 1201
7.42 IPS
 
Pose Estimation (F32)
100% 227
0.92 IPS
 
Pose Estimation (F16)
100% 542
2.19 IPS
 
Pose Estimation (I8)
80% 522
2.11 IPS
 
Object Detection (F32)
100% 276
9.68 IPS
 
Object Detection (F16)
100% 442
15.5 IPS
 
Object Detection (I8)
54% 431
15.1 IPS
 
Face Detection (F32)
100% 635
7.29 IPS
 
Face Detection (F16)
97% 1152
13.2 IPS
 
Face Detection (I8)
75% 1073
12.3 IPS
 
Text Classification (F32)
100% 240
95.1 IPS
 
Text Classification (F16)
98% 319
126.3 IPS
 
Machine Translation (F32)
100% 208
32.0 IPS
 
Machine Translation (F16)
100% 209
32.3 IPS
 

Compare

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