Geekbench ML Score

1749
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 05 2021 04:09 PM
Views 1

System Information

System Information
Operating System iOS 15.0.2
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 3.76 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4240
454.3 IPS
 
Image Classification (F16)
100% 4150
444.7 IPS
 
Image Classification (I8)
81% 448
48.0 IPS
 
Image Segmentation (F32)
100% 1583
9.78 IPS
 
Image Segmentation (F16)
100% 1589
9.82 IPS
 
Image Segmentation (I8)
89% 810
5.01 IPS
 
Pose Estimation (F32)
100% 8478
34.3 IPS
 
Pose Estimation (F16)
100% 8772
35.5 IPS
 
Pose Estimation (I8)
80% 150
0.61 IPS
 
Object Detection (F32)
94% 5035
176.7 IPS
 
Object Detection (F16)
94% 5017
176.1 IPS
 
Object Detection (I8)
52% 631
22.1 IPS
 
Face Detection (F32)
67% 5214
59.9 IPS
 
Face Detection (F16)
67% 5245
60.3 IPS
 
Face Detection (I8)
75% 628
7.21 IPS
 
Text Classification (F32)
100% 773
305.7 IPS
 
Text Classification (F16)
100% 756
299.0 IPS
 
Machine Translation (F32)
100% 1202
185.2 IPS
 
Machine Translation (F16)
100% 1197
184.5 IPS
 

Compare

Set Baseline Geekbench 6 now available