Geekbench ML Score

869
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 14 2023 01:42 PM
Views 1

System Information

System Information
Operating System iOS 16.6
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 588
63.0 IPS
 
Image Classification (F16)
100% 615
65.8 IPS
 
Image Classification (I8)
81% 438
47.0 IPS
 
Image Segmentation (F32)
100% 1046
6.46 IPS
 
Image Segmentation (F16)
100% 1000
6.18 IPS
 
Image Segmentation (I8)
89% 1441
8.90 IPS
 
Pose Estimation (F32)
100% 393
1.59 IPS
 
Pose Estimation (F16)
100% 384
1.56 IPS
 
Pose Estimation (I8)
80% 455
1.84 IPS
 
Object Detection (F32)
100% 1010
35.5 IPS
 
Object Detection (F16)
100% 1017
35.7 IPS
 
Object Detection (I8)
52% 769
27.0 IPS
 
Face Detection (F32)
100% 1249
14.4 IPS
 
Face Detection (F16)
100% 1179
13.5 IPS
 
Face Detection (I8)
75% 921
10.6 IPS
 
Text Classification (F32)
100% 1025
405.5 IPS
 
Text Classification (F16)
100% 924
365.5 IPS
 
Machine Translation (F32)
100% 2038
314.1 IPS
 
Machine Translation (F16)
100% 2067
318.6 IPS
 

Compare

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