Geekbench ML Score

2794
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 03:16 AM
Views 1

System Information

System Information
Operating System iOS 16.1
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% 6309
676.0 IPS
 
Image Classification (F16)
100% 6445
690.5 IPS
 
Image Classification (I8)
81% 693
74.3 IPS
 
Image Segmentation (F32)
100% 2156
13.3 IPS
 
Image Segmentation (F16)
100% 2104
13.0 IPS
 
Image Segmentation (I8)
89% 1182
7.30 IPS
 
Pose Estimation (F32)
100% 24052
97.3 IPS
 
Pose Estimation (F16)
100% 23998
97.1 IPS
 
Pose Estimation (I8)
80% 223
0.90 IPS
 
Object Detection (F32)
100% 7397
259.6 IPS
 
Object Detection (F16)
100% 6818
239.3 IPS
 
Object Detection (I8)
52% 940
33.0 IPS
 
Face Detection (F32)
100% 7772
89.3 IPS
 
Face Detection (F16)
100% 8261
94.9 IPS
 
Face Detection (I8)
75% 902
10.4 IPS
 
Text Classification (F32)
100% 1180
466.5 IPS
 
Text Classification (F16)
100% 1208
477.8 IPS
 
Machine Translation (F32)
100% 1932
297.7 IPS
 
Machine Translation (F16)
100% 2047
315.5 IPS
 

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