Geekbench ML Score

2822
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 07:20 PM
Views 1

System Information

System Information
Operating System iOS 16.0
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.57 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6290
673.9 IPS
 
Image Classification (F16)
100% 6366
682.1 IPS
 
Image Classification (I8)
81% 684
73.3 IPS
 
Image Segmentation (F32)
100% 2067
12.8 IPS
 
Image Segmentation (F16)
100% 2014
12.4 IPS
 
Image Segmentation (I8)
89% 1134
7.00 IPS
 
Pose Estimation (F32)
100% 24565
99.4 IPS
 
Pose Estimation (F16)
100% 23882
96.6 IPS
 
Pose Estimation (I8)
80% 224
0.90 IPS
 
Object Detection (F32)
100% 7688
269.8 IPS
 
Object Detection (F16)
100% 7634
267.9 IPS
 
Object Detection (I8)
52% 915
32.1 IPS
 
Face Detection (F32)
100% 8759
100.6 IPS
 
Face Detection (F16)
100% 8855
101.7 IPS
 
Face Detection (I8)
75% 863
9.92 IPS
 
Text Classification (F32)
100% 1184
468.2 IPS
 
Text Classification (F16)
100% 1209
478.3 IPS
 
Machine Translation (F32)
100% 2043
314.8 IPS
 
Machine Translation (F16)
100% 2049
315.8 IPS
 

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