Geekbench ML Score

2863
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 02:29 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6215
665.9 IPS
 
Image Classification (F16)
100% 6179
662.1 IPS
 
Image Classification (I8)
81% 694
74.3 IPS
 
Image Segmentation (F32)
100% 2200
13.6 IPS
 
Image Segmentation (F16)
100% 2198
13.6 IPS
 
Image Segmentation (I8)
89% 1244
7.69 IPS
 
Pose Estimation (F32)
100% 24202
97.9 IPS
 
Pose Estimation (F16)
100% 23309
94.3 IPS
 
Pose Estimation (I8)
80% 237
0.96 IPS
 
Object Detection (F32)
100% 7571
265.7 IPS
 
Object Detection (F16)
100% 7735
271.5 IPS
 
Object Detection (I8)
52% 982
34.5 IPS
 
Face Detection (F32)
100% 8447
97.0 IPS
 
Face Detection (F16)
100% 8653
99.4 IPS
 
Face Detection (I8)
75% 917
10.5 IPS
 
Text Classification (F32)
100% 1176
465.0 IPS
 
Text Classification (F16)
100% 1189
470.4 IPS
 
Machine Translation (F32)
100% 2034
313.5 IPS
 
Machine Translation (F16)
100% 2040
314.4 IPS
 

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