Geekbench ML Score

2530
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 30 2023 11:44 PM
Views 1

System Information

System Information
Operating System iOS 16.5
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 5.54 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5693
610.0 IPS
 
Image Classification (F16)
100% 5864
628.3 IPS
 
Image Classification (I8)
81% 642
68.7 IPS
 
Image Segmentation (F32)
100% 1877
11.6 IPS
 
Image Segmentation (F16)
100% 1848
11.4 IPS
 
Image Segmentation (I8)
89% 1174
7.25 IPS
 
Pose Estimation (F32)
100% 18040
73.0 IPS
 
Pose Estimation (F16)
100% 18700
75.7 IPS
 
Pose Estimation (I8)
80% 223
0.90 IPS
 
Object Detection (F32)
100% 6483
227.5 IPS
 
Object Detection (F16)
100% 6798
238.6 IPS
 
Object Detection (I8)
52% 909
31.9 IPS
 
Face Detection (F32)
100% 7632
87.7 IPS
 
Face Detection (F16)
100% 7578
87.1 IPS
 
Face Detection (I8)
75% 897
10.3 IPS
 
Text Classification (F32)
100% 1101
435.5 IPS
 
Text Classification (F16)
100% 1112
439.9 IPS
 
Machine Translation (F32)
100% 1657
255.4 IPS
 
Machine Translation (F16)
100% 1655
255.1 IPS
 

Compare

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