Geekbench ML Score

2678
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 06 2022 03:11 AM
Views 1

System Information

System Information
Operating System iOS 15.6
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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5437
582.6 IPS
 
Image Classification (F16)
100% 6162
660.3 IPS
 
Image Classification (I8)
81% 682
73.1 IPS
 
Image Segmentation (F32)
100% 2057
12.7 IPS
 
Image Segmentation (F16)
100% 2058
12.7 IPS
 
Image Segmentation (I8)
89% 1192
7.36 IPS
 
Pose Estimation (F32)
100% 22204
89.8 IPS
 
Pose Estimation (F16)
100% 22365
90.5 IPS
 
Pose Estimation (I8)
80% 227
0.92 IPS
 
Object Detection (F32)
100% 6955
244.1 IPS
 
Object Detection (F16)
100% 6900
242.1 IPS
 
Object Detection (I8)
52% 950
33.3 IPS
 
Face Detection (F32)
100% 7791
89.5 IPS
 
Face Detection (F16)
100% 7868
90.4 IPS
 
Face Detection (I8)
75% 915
10.5 IPS
 
Text Classification (F32)
100% 1026
405.8 IPS
 
Text Classification (F16)
100% 1036
409.8 IPS
 
Machine Translation (F32)
100% 1951
300.7 IPS
 
Machine Translation (F16)
100% 1958
301.7 IPS
 

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