Geekbench ML Score

2813
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 12:00 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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 Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6055
648.8 IPS
 
Image Classification (F16)
100% 6071
650.4 IPS
 
Image Classification (I8)
81% 693
74.3 IPS
 
Image Segmentation (F32)
100% 2201
13.6 IPS
 
Image Segmentation (F16)
100% 2210
13.7 IPS
 
Image Segmentation (I8)
89% 1202
7.42 IPS
 
Pose Estimation (F32)
100% 23017
93.1 IPS
 
Pose Estimation (F16)
100% 24151
97.7 IPS
 
Pose Estimation (I8)
80% 233
0.94 IPS
 
Object Detection (F32)
100% 6094
213.9 IPS
 
Object Detection (F16)
100% 7626
267.6 IPS
 
Object Detection (I8)
52% 982
34.5 IPS
 
Face Detection (F32)
100% 8643
99.3 IPS
 
Face Detection (F16)
100% 8693
99.9 IPS
 
Face Detection (I8)
75% 929
10.7 IPS
 
Text Classification (F32)
100% 1162
459.8 IPS
 
Text Classification (F16)
100% 1155
456.8 IPS
 
Machine Translation (F32)
100% 2038
314.0 IPS
 
Machine Translation (F16)
100% 2042
314.7 IPS
 

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