Geekbench ML Score

1636
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date June 11 2021 02:44 AM
Views 1

System Information

System Information
Operating System iOS 14.5
Model iPhone 11 Pro
Model IDiPhone12,3
Motherboard D421AP
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 3.69 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3179
340.6 IPS
 
Image Classification (F16)
100% 3190
341.8 IPS
 
Image Classification (I8)
81% 450
48.2 IPS
 
Image Segmentation (F32)
100% 1570
9.70 IPS
 
Image Segmentation (F16)
100% 1567
9.68 IPS
 
Image Segmentation (I8)
89% 838
5.17 IPS
 
Pose Estimation (F32)
100% 8723
35.3 IPS
 
Pose Estimation (F16)
100% 8642
35.0 IPS
 
Pose Estimation (I8)
80% 154
0.62 IPS
 
Object Detection (F32)
94% 5073
178.0 IPS
 
Object Detection (F16)
94% 4986
175.0 IPS
 
Object Detection (I8)
52% 640
22.5 IPS
 
Face Detection (F32)
67% 3739
43.0 IPS
 
Face Detection (F16)
67% 3754
43.1 IPS
 
Face Detection (I8)
75% 636
7.31 IPS
 
Text Classification (F32)
100% 708
279.8 IPS
 
Text Classification (F16)
100% 703
278.0 IPS
 
Machine Translation (F32)
100% 1212
186.8 IPS
 
Machine Translation (F16)
100% 1213
186.9 IPS
 

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