Geekbench ML Score

710
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 17 2022 02:03 PM
Views 3

System Information

System Information
Operating System iOS 15.4.1
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 5.52 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 482
51.6 IPS
 
Image Classification (F16)
100% 483
51.7 IPS
 
Image Classification (I8)
81% 919
98.4 IPS
 
Image Segmentation (F32)
100% 595
3.67 IPS
 
Image Segmentation (F16)
100% 601
3.71 IPS
 
Image Segmentation (I8)
89% 1367
8.44 IPS
 
Pose Estimation (F32)
100% 244
0.99 IPS
 
Pose Estimation (F16)
100% 331
1.34 IPS
 
Pose Estimation (I8)
80% 384
1.55 IPS
 
Object Detection (F32)
100% 708
24.9 IPS
 
Object Detection (F16)
100% 727
25.5 IPS
 
Object Detection (I8)
52% 1051
36.9 IPS
 
Face Detection (F32)
100% 851
9.78 IPS
 
Face Detection (F16)
100% 865
9.94 IPS
 
Face Detection (I8)
75% 1112
12.8 IPS
 
Text Classification (F32)
100% 1106
437.3 IPS
 
Text Classification (F16)
100% 1124
444.7 IPS
 
Machine Translation (F32)
100% 928
143.0 IPS
 
Machine Translation (F16)
100% 923
142.3 IPS
 

Compare

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