Geekbench ML Score

709
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 24 2022 06:57 PM
Views 1

System Information

System Information
Operating System iOS 16.1.1
Model iPhone SE (2nd generation)
Model IDiPhone12,8
Motherboard D79AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 2.89 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 534
57.2 IPS
 
Image Classification (F16)
100% 528
56.6 IPS
 
Image Classification (I8)
81% 307
32.8 IPS
 
Image Segmentation (F32)
100% 866
5.35 IPS
 
Image Segmentation (F16)
100% 848
5.24 IPS
 
Image Segmentation (I8)
89% 1089
6.73 IPS
 
Pose Estimation (F32)
100% 258
1.05 IPS
 
Pose Estimation (F16)
100% 261
1.05 IPS
 
Pose Estimation (I8)
80% 329
1.33 IPS
 
Object Detection (F32)
100% 778
27.3 IPS
 
Object Detection (F16)
100% 784
27.5 IPS
 
Object Detection (I8)
52% 604
21.2 IPS
 
Face Detection (F32)
100% 983
11.3 IPS
 
Face Detection (F16)
100% 957
11.0 IPS
 
Face Detection (I8)
75% 706
8.11 IPS
 
Text Classification (F32)
100% 1617
639.7 IPS
 
Text Classification (F16)
100% 1681
665.0 IPS
 
Machine Translation (F32)
100% 1195
184.2 IPS
 
Machine Translation (F16)
100% 1197
184.4 IPS
 

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