Geekbench ML Score

2858
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 14 2023 01:19 AM
Views 1

System Information

System Information
Operating System iOS 17.0
Model iPhone 13 mini
Model IDiPhone14,4
Motherboard D16AP
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6221
666.6 IPS
 
Image Classification (F16)
100% 6444
690.4 IPS
 
Image Classification (I8)
81% 692
74.1 IPS
 
Image Segmentation (F32)
100% 2226
13.7 IPS
 
Image Segmentation (F16)
100% 2145
13.3 IPS
 
Image Segmentation (I8)
89% 1169
7.22 IPS
 
Pose Estimation (F32)
100% 24484
99.1 IPS
 
Pose Estimation (F16)
100% 24502
99.1 IPS
 
Pose Estimation (I8)
80% 231
0.93 IPS
 
Object Detection (F32)
100% 7130
250.2 IPS
 
Object Detection (F16)
100% 7334
257.4 IPS
 
Object Detection (I8)
52% 952
33.4 IPS
 
Face Detection (F32)
100% 8738
100.4 IPS
 
Face Detection (F16)
100% 8711
100.1 IPS
 
Face Detection (I8)
75% 905
10.4 IPS
 
Text Classification (F32)
100% 1216
481.0 IPS
 
Text Classification (F16)
100% 1214
480.3 IPS
 
Machine Translation (F32)
100% 2064
318.0 IPS
 
Machine Translation (F16)
100% 2069
318.9 IPS
 

Compare

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