Geekbench ML Score

1626
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date September 17 2021 12:36 PM
Views 1

System Information

System Information
Operating System iOS 14.8
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% 3077
329.7 IPS
 
Image Classification (F16)
100% 3100
332.1 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 1570
9.70 IPS
 
Image Segmentation (F16)
100% 1575
9.73 IPS
 
Image Segmentation (I8)
89% 829
5.12 IPS
 
Pose Estimation (F32)
100% 8565
34.7 IPS
 
Pose Estimation (F16)
100% 8600
34.8 IPS
 
Pose Estimation (I8)
80% 154
0.62 IPS
 
Object Detection (F32)
94% 5029
176.5 IPS
 
Object Detection (F16)
94% 4919
172.6 IPS
 
Object Detection (I8)
52% 640
22.5 IPS
 
Face Detection (F32)
67% 3931
45.2 IPS
 
Face Detection (F16)
67% 3692
42.4 IPS
 
Face Detection (I8)
75% 636
7.30 IPS
 
Text Classification (F32)
100% 701
277.4 IPS
 
Text Classification (F16)
100% 697
275.7 IPS
 
Machine Translation (F32)
100% 1206
185.9 IPS
 
Machine Translation (F16)
100% 1201
185.1 IPS
 

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