Geekbench ML Score

901
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 19 2022 09:00 AM
Views 2

System Information

System Information
Operating System iOS 15.2.1
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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 623
66.7 IPS
 
Image Classification (F16)
100% 619
66.3 IPS
 
Image Classification (I8)
81% 402
43.1 IPS
 
Image Segmentation (F32)
100% 1028
6.35 IPS
 
Image Segmentation (F16)
100% 1009
6.24 IPS
 
Image Segmentation (I8)
89% 1386
8.56 IPS
 
Pose Estimation (F32)
100% 385
1.56 IPS
 
Pose Estimation (F16)
100% 374
1.51 IPS
 
Pose Estimation (I8)
80% 456
1.85 IPS
 
Object Detection (F32)
100% 945
33.2 IPS
 
Object Detection (F16)
100% 965
33.9 IPS
 
Object Detection (I8)
52% 712
25.0 IPS
 
Face Detection (F32)
100% 1084
12.5 IPS
 
Face Detection (F16)
100% 1094
12.6 IPS
 
Face Detection (I8)
75% 818
9.40 IPS
 
Text Classification (F32)
100% 2328
920.7 IPS
 
Text Classification (F16)
100% 2326
920.0 IPS
 
Machine Translation (F32)
100% 1671
257.6 IPS
 
Machine Translation (F16)
100% 1686
259.8 IPS
 

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