Geekbench ML Score

2542
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 15 2022 01:31 AM
Views 1

System Information

System Information
Operating System iOS 15.1
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
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 5.56 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5873
629.3 IPS
 
Image Classification (F16)
100% 5489
588.1 IPS
 
Image Classification (I8)
81% 696
74.6 IPS
 
Image Segmentation (F32)
100% 2185
13.5 IPS
 
Image Segmentation (F16)
100% 2099
13.0 IPS
 
Image Segmentation (I8)
89% 1058
6.53 IPS
 
Pose Estimation (F32)
100% 21822
88.3 IPS
 
Pose Estimation (F16)
100% 22314
90.3 IPS
 
Pose Estimation (I8)
80% 197
0.80 IPS
 
Object Detection (F32)
100% 6183
217.0 IPS
 
Object Detection (F16)
100% 6430
225.6 IPS
 
Object Detection (I8)
52% 833
29.2 IPS
 
Face Detection (F32)
100% 7697
88.4 IPS
 
Face Detection (F16)
100% 7721
88.7 IPS
 
Face Detection (I8)
75% 789
9.07 IPS
 
Text Classification (F32)
100% 1006
397.9 IPS
 
Text Classification (F16)
100% 945
373.8 IPS
 
Machine Translation (F32)
100% 1772
273.1 IPS
 
Machine Translation (F16)
100% 1835
282.8 IPS
 

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