Geekbench ML Score

1619
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date May 26 2021 09:09 PM
Views 1

System Information

System Information
Operating System iOS 14.6
Model iPhone 11
Model IDiPhone12,1
Motherboard N104AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.77 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3102
332.3 IPS
 
Image Classification (F16)
100% 2975
318.7 IPS
 
Image Classification (I8)
81% 445
47.7 IPS
 
Image Segmentation (F32)
100% 1550
9.57 IPS
 
Image Segmentation (F16)
100% 1549
9.57 IPS
 
Image Segmentation (I8)
89% 809
5.00 IPS
 
Pose Estimation (F32)
100% 8543
34.6 IPS
 
Pose Estimation (F16)
100% 8492
34.4 IPS
 
Pose Estimation (I8)
80% 150
0.61 IPS
 
Object Detection (F32)
94% 4984
174.9 IPS
 
Object Detection (F16)
94% 4903
172.1 IPS
 
Object Detection (I8)
52% 640
22.5 IPS
 
Face Detection (F32)
67% 3941
45.3 IPS
 
Face Detection (F16)
67% 3985
45.8 IPS
 
Face Detection (I8)
75% 619
7.12 IPS
 
Text Classification (F32)
100% 697
275.6 IPS
 
Text Classification (F16)
100% 711
281.2 IPS
 
Machine Translation (F32)
100% 1216
187.4 IPS
 
Machine Translation (F16)
100% 1202
185.3 IPS
 

Compare

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