Geekbench ML Score

870
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 14 2022 11:49 PM
Views 1

System Information

System Information
Operating System iOS 15.2.1
Model iPhone 12 Mini
Model IDiPhone13,1
Motherboard D52gAP
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 3.63 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 641
68.7 IPS
 
Image Classification (F16)
100% 592
63.5 IPS
 
Image Classification (I8)
81% 413
44.3 IPS
 
Image Segmentation (F32)
100% 975
6.02 IPS
 
Image Segmentation (F16)
100% 938
5.79 IPS
 
Image Segmentation (I8)
89% 1359
8.40 IPS
 
Pose Estimation (F32)
100% 354
1.43 IPS
 
Pose Estimation (F16)
100% 345
1.40 IPS
 
Pose Estimation (I8)
80% 425
1.72 IPS
 
Object Detection (F32)
100% 846
29.7 IPS
 
Object Detection (F16)
100% 854
30.0 IPS
 
Object Detection (I8)
52% 738
25.9 IPS
 
Face Detection (F32)
100% 1052
12.1 IPS
 
Face Detection (F16)
100% 1022
11.7 IPS
 
Face Detection (I8)
75% 808
9.28 IPS
 
Text Classification (F32)
100% 2354
931.2 IPS
 
Text Classification (F16)
100% 2346
927.8 IPS
 
Machine Translation (F32)
100% 1672
257.7 IPS
 
Machine Translation (F16)
100% 1671
257.5 IPS
 

Compare

Set Baseline

Share

Geekbench ML now available for download