Geekbench ML Score

869
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 04:43 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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% 637
68.3 IPS
 
Image Classification (F16)
100% 653
70.0 IPS
 
Image Classification (I8)
81% 435
46.6 IPS
 
Image Segmentation (F32)
100% 1057
6.53 IPS
 
Image Segmentation (F16)
100% 949
5.86 IPS
 
Image Segmentation (I8)
89% 1411
8.72 IPS
 
Pose Estimation (F32)
100% 395
1.60 IPS
 
Pose Estimation (F16)
100% 381
1.54 IPS
 
Pose Estimation (I8)
80% 465
1.88 IPS
 
Object Detection (F32)
100% 1008
35.4 IPS
 
Object Detection (F16)
100% 1000
35.1 IPS
 
Object Detection (I8)
52% 750
26.3 IPS
 
Face Detection (F32)
100% 1255
14.4 IPS
 
Face Detection (F16)
100% 1219
14.0 IPS
 
Face Detection (I8)
75% 831
9.55 IPS
 
Text Classification (F32)
100% 954
377.3 IPS
 
Text Classification (F16)
100% 993
392.8 IPS
 
Machine Translation (F32)
100% 2065
318.3 IPS
 
Machine Translation (F16)
100% 2070
319.0 IPS
 

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