Geekbench ML Score

2477
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 03 2021 11:07 AM
Views 1

System Information

System Information
Operating System iOS 15.1
Model iPhone 12 Pro Max
Model IDiPhone13,4
Motherboard D54pAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.57 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5353
573.6 IPS
 
Image Classification (F16)
100% 5270
564.6 IPS
 
Image Classification (I8)
81% 642
68.8 IPS
 
Image Segmentation (F32)
100% 1900
11.7 IPS
 
Image Segmentation (F16)
100% 1931
11.9 IPS
 
Image Segmentation (I8)
89% 1172
7.24 IPS
 
Pose Estimation (F32)
100% 18016
72.9 IPS
 
Pose Estimation (F16)
100% 18297
74.0 IPS
 
Pose Estimation (I8)
80% 224
0.91 IPS
 
Object Detection (F32)
100% 6634
232.8 IPS
 
Object Detection (F16)
100% 6572
230.6 IPS
 
Object Detection (I8)
52% 921
32.3 IPS
 
Face Detection (F32)
100% 6938
79.7 IPS
 
Face Detection (F16)
100% 6924
79.5 IPS
 
Face Detection (I8)
75% 900
10.3 IPS
 
Text Classification (F32)
100% 1057
417.9 IPS
 
Text Classification (F16)
100% 1039
411.1 IPS
 
Machine Translation (F32)
100% 1673
257.8 IPS
 
Machine Translation (F16)
100% 1675
258.1 IPS
 

Compare

Set Baseline Geekbench 6 now available