Geekbench ML Score

2661
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 06 2022 03:14 AM
Views 1

System Information

System Information
Operating System iOS 15.6
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5381
576.5 IPS
 
Image Classification (F16)
100% 5239
561.4 IPS
 
Image Classification (I8)
81% 666
71.3 IPS
 
Image Segmentation (F32)
100% 2034
12.6 IPS
 
Image Segmentation (F16)
100% 2112
13.0 IPS
 
Image Segmentation (I8)
89% 1165
7.20 IPS
 
Pose Estimation (F32)
100% 23427
94.8 IPS
 
Pose Estimation (F16)
100% 22807
92.3 IPS
 
Pose Estimation (I8)
80% 223
0.90 IPS
 
Object Detection (F32)
100% 7091
248.9 IPS
 
Object Detection (F16)
100% 6998
245.6 IPS
 
Object Detection (I8)
52% 927
32.5 IPS
 
Face Detection (F32)
100% 7967
91.5 IPS
 
Face Detection (F16)
100% 7815
89.8 IPS
 
Face Detection (I8)
75% 888
10.2 IPS
 
Text Classification (F32)
100% 1047
414.2 IPS
 
Text Classification (F16)
100% 1047
414.3 IPS
 
Machine Translation (F32)
100% 1961
302.2 IPS
 
Machine Translation (F16)
100% 1952
300.8 IPS
 

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