Geekbench ML Score

916
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 03:25 PM
Views 1

System Information

System Information
Operating System iOS 16.0
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 3.57 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 781
83.7 IPS
 
Image Classification (F16)
100% 755
80.9 IPS
 
Image Classification (I8)
81% 451
48.4 IPS
 
Image Segmentation (F32)
100% 1116
6.89 IPS
 
Image Segmentation (F16)
100% 1084
6.69 IPS
 
Image Segmentation (I8)
89% 1444
8.92 IPS
 
Pose Estimation (F32)
100% 400
1.62 IPS
 
Pose Estimation (F16)
100% 395
1.60 IPS
 
Pose Estimation (I8)
80% 471
1.91 IPS
 
Object Detection (F32)
100% 1047
36.7 IPS
 
Object Detection (F16)
100% 1044
36.6 IPS
 
Object Detection (I8)
52% 735
25.8 IPS
 
Face Detection (F32)
100% 1319
15.2 IPS
 
Face Detection (F16)
100% 1280
14.7 IPS
 
Face Detection (I8)
75% 840
9.65 IPS
 
Text Classification (F32)
100% 1094
432.8 IPS
 
Text Classification (F16)
100% 1077
426.0 IPS
 
Machine Translation (F32)
100% 2027
312.4 IPS
 
Machine Translation (F16)
100% 2022
311.6 IPS
 

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