Geekbench ML Score

2745
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 15 2022 12:27 AM
Views 2

System Information

System Information
Operating System iOS 15.2.1
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.53 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5318
569.8 IPS
 
Image Classification (F16)
100% 5317
569.7 IPS
 
Image Classification (I8)
81% 697
74.7 IPS
 
Image Segmentation (F32)
100% 2161
13.3 IPS
 
Image Segmentation (F16)
100% 2245
13.9 IPS
 
Image Segmentation (I8)
89% 1274
7.87 IPS
 
Pose Estimation (F32)
100% 23736
96.0 IPS
 
Pose Estimation (F16)
100% 22651
91.7 IPS
 
Pose Estimation (I8)
80% 241
0.97 IPS
 
Object Detection (F32)
100% 6869
241.1 IPS
 
Object Detection (F16)
100% 6824
239.5 IPS
 
Object Detection (I8)
52% 991
34.8 IPS
 
Face Detection (F32)
100% 7993
91.8 IPS
 
Face Detection (F16)
100% 8227
94.5 IPS
 
Face Detection (I8)
75% 960
11.0 IPS
 
Text Classification (F32)
100% 1101
435.6 IPS
 
Text Classification (F16)
100% 1099
434.7 IPS
 
Machine Translation (F32)
100% 1968
303.3 IPS
 
Machine Translation (F16)
100% 1951
300.7 IPS
 

Compare

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