Geekbench ML Score

900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User TSMusik
Upload Date November 03 2021 11:04 AM
Views 2

System Information

System Information
Operating System iOS 15.1
Model iPhone 12 Pro Max
Model IDiPhone13,4
Motherboard D54pAP
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 649
69.5 IPS
 
Image Classification (F16)
100% 612
65.5 IPS
 
Image Classification (I8)
81% 413
44.3 IPS
 
Image Segmentation (F32)
100% 1016
6.27 IPS
 
Image Segmentation (F16)
100% 984
6.08 IPS
 
Image Segmentation (I8)
89% 1409
8.70 IPS
 
Pose Estimation (F32)
100% 378
1.53 IPS
 
Pose Estimation (F16)
100% 372
1.51 IPS
 
Pose Estimation (I8)
80% 452
1.83 IPS
 
Object Detection (F32)
100% 930
32.6 IPS
 
Object Detection (F16)
100% 957
33.6 IPS
 
Object Detection (I8)
52% 722
25.3 IPS
 
Face Detection (F32)
100% 1102
12.7 IPS
 
Face Detection (F16)
100% 1093
12.6 IPS
 
Face Detection (I8)
75% 820
9.42 IPS
 
Text Classification (F32)
100% 2320
917.4 IPS
 
Text Classification (F16)
100% 2274
899.4 IPS
 
Machine Translation (F32)
100% 1670
257.4 IPS
 
Machine Translation (F16)
100% 1672
257.7 IPS
 

Compare

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