Geekbench ML Score

2869
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 03:17 PM
Views 1

System Information

System Information
Operating System iOS 16.0
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.57 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6358
681.2 IPS
 
Image Classification (F16)
100% 6277
672.5 IPS
 
Image Classification (I8)
81% 693
74.2 IPS
 
Image Segmentation (F32)
100% 2139
13.2 IPS
 
Image Segmentation (F16)
100% 2199
13.6 IPS
 
Image Segmentation (I8)
89% 1241
7.66 IPS
 
Pose Estimation (F32)
100% 24182
97.8 IPS
 
Pose Estimation (F16)
100% 24095
97.5 IPS
 
Pose Estimation (I8)
80% 234
0.95 IPS
 
Object Detection (F32)
100% 7522
264.0 IPS
 
Object Detection (F16)
100% 7537
264.5 IPS
 
Object Detection (I8)
52% 977
34.3 IPS
 
Face Detection (F32)
100% 8689
99.8 IPS
 
Face Detection (F16)
100% 8816
101.3 IPS
 
Face Detection (I8)
75% 931
10.7 IPS
 
Text Classification (F32)
100% 1176
464.9 IPS
 
Text Classification (F16)
100% 1176
465.1 IPS
 
Machine Translation (F32)
100% 2039
314.2 IPS
 
Machine Translation (F16)
100% 2040
314.4 IPS
 

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