Geekbench ML Score

913
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 14 2022 11:24 PM
Views 1

System Information

System Information
Operating System iOS 15.2.1
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
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 5.56 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 741
79.4 IPS
 
Image Classification (F16)
100% 718
77.0 IPS
 
Image Classification (I8)
81% 458
49.0 IPS
 
Image Segmentation (F32)
100% 1040
6.43 IPS
 
Image Segmentation (F16)
100% 1025
6.33 IPS
 
Image Segmentation (I8)
89% 1466
9.06 IPS
 
Pose Estimation (F32)
100% 404
1.64 IPS
 
Pose Estimation (F16)
100% 401
1.62 IPS
 
Pose Estimation (I8)
80% 477
1.93 IPS
 
Object Detection (F32)
100% 1047
36.7 IPS
 
Object Detection (F16)
100% 1052
36.9 IPS
 
Object Detection (I8)
52% 742
26.0 IPS
 
Face Detection (F32)
100% 1293
14.9 IPS
 
Face Detection (F16)
100% 1252
14.4 IPS
 
Face Detection (I8)
75% 845
9.71 IPS
 
Text Classification (F32)
100% 1186
468.9 IPS
 
Text Classification (F16)
100% 1182
467.6 IPS
 
Machine Translation (F32)
100% 1970
303.6 IPS
 
Machine Translation (F16)
100% 1975
304.3 IPS
 

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