Geekbench ML Score

2869
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2023 10:29 AM
Views 1

System Information

System Information
Operating System iOS 16.4.1
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% 6146
658.5 IPS
 
Image Classification (F16)
100% 6196
663.8 IPS
 
Image Classification (I8)
81% 696
74.5 IPS
 
Image Segmentation (F32)
100% 2137
13.2 IPS
 
Image Segmentation (F16)
100% 2124
13.1 IPS
 
Image Segmentation (I8)
89% 1272
7.86 IPS
 
Pose Estimation (F32)
100% 23137
93.6 IPS
 
Pose Estimation (F16)
100% 24016
97.2 IPS
 
Pose Estimation (I8)
80% 240
0.97 IPS
 
Object Detection (F32)
100% 7331
257.3 IPS
 
Object Detection (F16)
100% 7342
257.7 IPS
 
Object Detection (I8)
52% 994
34.9 IPS
 
Face Detection (F32)
100% 8644
99.3 IPS
 
Face Detection (F16)
100% 8738
100.4 IPS
 
Face Detection (I8)
75% 952
10.9 IPS
 
Text Classification (F32)
100% 1229
486.0 IPS
 
Text Classification (F16)
100% 1231
486.9 IPS
 
Machine Translation (F32)
100% 2055
316.7 IPS
 
Machine Translation (F16)
100% 2044
315.1 IPS
 

Compare

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