Geekbench ML Score

2711
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 15 2022 01:55 PM
Views 1

System Information

System Information
Operating System iOS 15.4.1
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5759
617.0 IPS
 
Image Classification (F16)
100% 5306
568.5 IPS
 
Image Classification (I8)
81% 695
74.4 IPS
 
Image Segmentation (F32)
100% 2095
12.9 IPS
 
Image Segmentation (F16)
100% 2232
13.8 IPS
 
Image Segmentation (I8)
89% 1269
7.84 IPS
 
Pose Estimation (F32)
100% 22763
92.1 IPS
 
Pose Estimation (F16)
100% 22220
89.9 IPS
 
Pose Estimation (I8)
80% 241
0.97 IPS
 
Object Detection (F32)
100% 6898
242.1 IPS
 
Object Detection (F16)
100% 6954
244.1 IPS
 
Object Detection (I8)
52% 989
34.7 IPS
 
Face Detection (F32)
100% 7804
89.7 IPS
 
Face Detection (F16)
100% 7869
90.4 IPS
 
Face Detection (I8)
75% 967
11.1 IPS
 
Text Classification (F32)
100% 1017
402.3 IPS
 
Text Classification (F16)
100% 1018
402.8 IPS
 
Machine Translation (F32)
100% 1952
300.9 IPS
 
Machine Translation (F16)
100% 1952
300.8 IPS
 

Compare

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