Geekbench ML Score

723
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date February 12 2024 07:01 PM
Views 1

System Information

System Information
Operating System Android 13
Model Nothing A065
Model IDNothing A065
Motherboard taro
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 2 part 3400 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 23 Cores @ 2.50 GHz
Cluster 31 Core @ 3.00 GHz
Memory Information
Size 11.00 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 479
89.6 IPS
 
Image Classification (F16)
100% 389
72.8 IPS
 
Image Classification (I8)
97% 464
86.7 IPS
 
Image Segmentation (F32)
100% 748
12.5 IPS
 
Image Segmentation (F16)
100% 983
16.4 IPS
 
Image Segmentation (I8)
98% 839
14.0 IPS
 
Pose Estimation (F32)
100% 653
0.79 IPS
 
Pose Estimation (F16)
100% 1206
1.46 IPS
 
Pose Estimation (I8)
100% 1207
1.46 IPS
 
Object Detection (F32)
100% 262
19.5 IPS
 
Object Detection (F16)
100% 255
19.0 IPS
 
Object Detection (I8)
62% 240
17.9 IPS
 
Face Detection (F32)
100% 1450
17.2 IPS
 
Face Detection (F16)
97% 1447
17.2 IPS
 
Face Detection (I8)
87% 1328
15.8 IPS
 
Depth Estimation (F32)
100% 1059
8.22 IPS
 
Depth Estimation (F16)
100% 2254
17.5 IPS
 
Depth Estimation (I8)
95% 2301
17.8 IPS
 
Style Transfer (F32)
100% 2461
3.24 IPS
 
Style Transfer (F16)
100% 4809
6.33 IPS
 
Style Transfer (I8)
98% 4833
6.36 IPS
 
Image Super-Resolution (F32)
100% 373
13.3 IPS
 
Image Super-Resolution (F16)
100% 495
17.7 IPS
 
Image Super-Resolution (I8)
98% 394
14.1 IPS
 
Text Classification (F32)
100% 210
301.5 IPS
 
Text Classification (F16)
100% 210
301.6 IPS
 
Text Classification (I8)
92% 381
548.1 IPS
 
Machine Translation (F32)
100% 386
7.11 IPS
 
Machine Translation (F16)
100% 388
7.14 IPS
 
Machine Translation (I8)
64% 465
8.56 IPS
 

Compare

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