Geekbench ML Score

1436
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 12:14 AM
Views 1

System Information

System Information
Operating System iOS 16.2
Model iPhone XS
Model IDiPhone11,2
Motherboard D321AP
CPU Information
Name Apple A12 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.49 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache2.00 MB x 1
Memory Information
Size 3.69 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4139
443.5 IPS
 
Image Classification (F16)
100% 4112
440.6 IPS
 
Image Classification (I8)
81% 400
42.9 IPS
 
Image Segmentation (F32)
100% 1385
8.56 IPS
 
Image Segmentation (F16)
100% 1374
8.48 IPS
 
Image Segmentation (I8)
89% 730
4.51 IPS
 
Pose Estimation (F32)
100% 7067
28.6 IPS
 
Pose Estimation (F16)
100% 6981
28.2 IPS
 
Pose Estimation (I8)
80% 139
0.56 IPS
 
Object Detection (F32)
94% 4354
152.8 IPS
 
Object Detection (F16)
94% 4398
154.3 IPS
 
Object Detection (I8)
52% 573
20.1 IPS
 
Face Detection (F32)
67% 4021
46.2 IPS
 
Face Detection (F16)
67% 4031
46.3 IPS
 
Face Detection (I8)
75% 546
6.28 IPS
 
Text Classification (F32)
100% 396
156.5 IPS
 
Text Classification (F16)
100% 396
156.5 IPS
 
Machine Translation (F32)
100% 990
152.6 IPS
 
Machine Translation (F16)
100% 991
152.8 IPS
 

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