Geekbench ML Score

1797
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 06:24 AM
Views 1

System Information

System Information
Operating System iOS 16.1.1
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% 4495
481.6 IPS
 
Image Classification (F16)
100% 4523
484.7 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 1521
9.40 IPS
 
Image Segmentation (F16)
100% 1491
9.21 IPS
 
Image Segmentation (I8)
89% 837
5.17 IPS
 
Pose Estimation (F32)
100% 8560
34.6 IPS
 
Pose Estimation (F16)
100% 8649
35.0 IPS
 
Pose Estimation (I8)
80% 153
0.62 IPS
 
Object Detection (F32)
94% 5067
177.8 IPS
 
Object Detection (F16)
94% 5146
180.6 IPS
 
Object Detection (I8)
52% 635
22.3 IPS
 
Face Detection (F32)
67% 5750
66.1 IPS
 
Face Detection (F16)
67% 5781
66.4 IPS
 
Face Detection (I8)
75% 636
7.31 IPS
 
Text Classification (F32)
100% 834
329.7 IPS
 
Text Classification (F16)
100% 843
333.4 IPS
 
Machine Translation (F32)
100% 1195
184.2 IPS
 
Machine Translation (F16)
100% 1197
184.4 IPS
 

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