Geekbench ML Score

1814
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 08:03 AM
Views 1

System Information

System Information
Operating System iOS 16.1
Model iPhone 11 Pro Max
Model IDiPhone12,5
Motherboard D431AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.66 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4409
472.4 IPS
 
Image Classification (F16)
100% 4507
482.9 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 1485
9.17 IPS
 
Image Segmentation (F16)
100% 1488
9.19 IPS
 
Image Segmentation (I8)
89% 837
5.17 IPS
 
Pose Estimation (F32)
100% 8497
34.4 IPS
 
Pose Estimation (F16)
100% 8545
34.6 IPS
 
Pose Estimation (I8)
80% 154
0.62 IPS
 
Object Detection (F32)
94% 5456
191.5 IPS
 
Object Detection (F16)
94% 5512
193.4 IPS
 
Object Detection (I8)
52% 642
22.5 IPS
 
Face Detection (F32)
67% 5866
67.4 IPS
 
Face Detection (F16)
67% 5712
65.6 IPS
 
Face Detection (I8)
75% 636
7.31 IPS
 
Text Classification (F32)
100% 850
336.3 IPS
 
Text Classification (F16)
100% 870
344.0 IPS
 
Machine Translation (F32)
100% 1212
186.8 IPS
 
Machine Translation (F16)
100% 1213
187.0 IPS
 

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