Geekbench ML Score

911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 10:04 PM
Views 1

System Information

System Information
Operating System iOS 15.5
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 788
84.4 IPS
 
Image Classification (F16)
100% 749
80.3 IPS
 
Image Classification (I8)
81% 465
49.8 IPS
 
Image Segmentation (F32)
100% 1099
6.79 IPS
 
Image Segmentation (F16)
100% 1061
6.56 IPS
 
Image Segmentation (I8)
89% 1444
8.92 IPS
 
Pose Estimation (F32)
100% 410
1.66 IPS
 
Pose Estimation (F16)
100% 405
1.64 IPS
 
Pose Estimation (I8)
80% 479
1.94 IPS
 
Object Detection (F32)
100% 1031
36.2 IPS
 
Object Detection (F16)
100% 1040
36.5 IPS
 
Object Detection (I8)
52% 779
27.3 IPS
 
Face Detection (F32)
100% 1300
14.9 IPS
 
Face Detection (F16)
100% 1253
14.4 IPS
 
Face Detection (I8)
75% 849
9.75 IPS
 
Text Classification (F32)
100% 1030
407.5 IPS
 
Text Classification (F16)
100% 1008
398.9 IPS
 
Machine Translation (F32)
100% 1970
303.7 IPS
 
Machine Translation (F16)
100% 1976
304.6 IPS
 

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