Geekbench ML Score

683
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User davidblue
Upload Date September 01 2022 04:43 PM
Views 8

System Information

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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 633
67.8 IPS
 
Image Classification (F16)
100% 603
64.6 IPS
 
Image Classification (I8)
81% 204
21.9 IPS
 
Image Segmentation (F32)
100% 1001
6.18 IPS
 
Image Segmentation (F16)
100% 952
5.88 IPS
 
Image Segmentation (I8)
89% 1257
7.76 IPS
 
Pose Estimation (F32)
100% 297
1.20 IPS
 
Pose Estimation (F16)
100% 293
1.19 IPS
 
Pose Estimation (I8)
80% 397
1.61 IPS
 
Object Detection (F32)
100% 883
31.0 IPS
 
Object Detection (F16)
100% 874
30.7 IPS
 
Object Detection (I8)
52% 426
15.0 IPS
 
Face Detection (F32)
100% 1078
12.4 IPS
 
Face Detection (F16)
100% 1037
11.9 IPS
 
Face Detection (I8)
75% 672
7.73 IPS
 
Text Classification (F32)
100% 569
225.1 IPS
 
Text Classification (F16)
100% 545
215.5 IPS
 
Machine Translation (F32)
100% 1705
262.8 IPS
 
Machine Translation (F16)
100% 1712
263.8 IPS
 

Compare

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