Geekbench ML Score

909
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 24 2022 04:30 PM
Views 1

System Information

System Information
Operating System iOS 15.7.1
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
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 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 766
82.1 IPS
 
Image Classification (F16)
100% 732
78.4 IPS
 
Image Classification (I8)
81% 459
49.2 IPS
 
Image Segmentation (F32)
100% 1062
6.56 IPS
 
Image Segmentation (F16)
100% 1052
6.50 IPS
 
Image Segmentation (I8)
89% 1472
9.09 IPS
 
Pose Estimation (F32)
100% 406
1.64 IPS
 
Pose Estimation (F16)
100% 410
1.66 IPS
 
Pose Estimation (I8)
80% 483
1.95 IPS
 
Object Detection (F32)
100% 1054
37.0 IPS
 
Object Detection (F16)
100% 1057
37.1 IPS
 
Object Detection (I8)
52% 745
26.1 IPS
 
Face Detection (F32)
100% 1302
15.0 IPS
 
Face Detection (F16)
100% 1278
14.7 IPS
 
Face Detection (I8)
75% 854
9.82 IPS
 
Text Classification (F32)
100% 999
395.2 IPS
 
Text Classification (F16)
100% 1068
422.4 IPS
 
Machine Translation (F32)
100% 1957
301.6 IPS
 
Machine Translation (F16)
100% 1970
303.6 IPS
 

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