Geekbench ML Score

2643
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 06 2022 03:12 AM
Views 1

System Information

System Information
Operating System iOS 15.6
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5289
566.7 IPS
 
Image Classification (F16)
100% 5385
577.0 IPS
 
Image Classification (I8)
81% 664
71.1 IPS
 
Image Segmentation (F32)
100% 2017
12.5 IPS
 
Image Segmentation (F16)
100% 2084
12.9 IPS
 
Image Segmentation (I8)
89% 1163
7.18 IPS
 
Pose Estimation (F32)
100% 22430
90.8 IPS
 
Pose Estimation (F16)
100% 22050
89.2 IPS
 
Pose Estimation (I8)
80% 222
0.90 IPS
 
Object Detection (F32)
100% 6902
242.2 IPS
 
Object Detection (F16)
100% 7008
245.9 IPS
 
Object Detection (I8)
52% 940
33.0 IPS
 
Face Detection (F32)
100% 7907
90.8 IPS
 
Face Detection (F16)
100% 7877
90.5 IPS
 
Face Detection (I8)
75% 887
10.2 IPS
 
Text Classification (F32)
100% 1031
407.6 IPS
 
Text Classification (F16)
100% 1035
409.2 IPS
 
Machine Translation (F32)
100% 1955
301.3 IPS
 
Machine Translation (F16)
100% 1970
303.7 IPS
 

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