Geekbench ML Score

910
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 07:48 PM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 729
78.2 IPS
 
Image Classification (F16)
100% 733
78.6 IPS
 
Image Classification (I8)
81% 468
50.1 IPS
 
Image Segmentation (F32)
100% 1096
6.77 IPS
 
Image Segmentation (F16)
100% 1052
6.50 IPS
 
Image Segmentation (I8)
89% 1452
8.97 IPS
 
Pose Estimation (F32)
100% 407
1.65 IPS
 
Pose Estimation (F16)
100% 402
1.63 IPS
 
Pose Estimation (I8)
80% 473
1.91 IPS
 
Object Detection (F32)
100% 1052
36.9 IPS
 
Object Detection (F16)
100% 1041
36.5 IPS
 
Object Detection (I8)
52% 757
26.6 IPS
 
Face Detection (F32)
100% 1288
14.8 IPS
 
Face Detection (F16)
100% 1244
14.3 IPS
 
Face Detection (I8)
75% 842
9.67 IPS
 
Text Classification (F32)
100% 996
393.8 IPS
 
Text Classification (F16)
100% 1109
438.4 IPS
 
Machine Translation (F32)
100% 2049
315.9 IPS
 
Machine Translation (F16)
100% 2054
316.6 IPS
 

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