Geekbench ML Score

855
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 08:17 AM
Views 1

System Information

System Information
Operating System iOS 16.1
Model iPhone 12 Pro
Model IDiPhone13,3
Motherboard D53pAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.57 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 624
66.8 IPS
 
Image Classification (F16)
100% 614
65.8 IPS
 
Image Classification (I8)
81% 400
42.9 IPS
 
Image Segmentation (F32)
100% 991
6.12 IPS
 
Image Segmentation (F16)
100% 953
5.89 IPS
 
Image Segmentation (I8)
89% 1369
8.46 IPS
 
Pose Estimation (F32)
100% 363
1.47 IPS
 
Pose Estimation (F16)
100% 356
1.44 IPS
 
Pose Estimation (I8)
80% 433
1.75 IPS
 
Object Detection (F32)
100% 896
31.5 IPS
 
Object Detection (F16)
100% 915
32.1 IPS
 
Object Detection (I8)
52% 690
24.2 IPS
 
Face Detection (F32)
100% 1063
12.2 IPS
 
Face Detection (F16)
100% 1044
12.0 IPS
 
Face Detection (I8)
75% 815
9.36 IPS
 
Text Classification (F32)
100% 1624
642.3 IPS
 
Text Classification (F16)
100% 1975
781.0 IPS
 
Machine Translation (F32)
100% 1690
260.4 IPS
 
Machine Translation (F16)
100% 1685
259.7 IPS
 

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