Geekbench ML Score

875
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 06 2022 06:16 PM
Views 1

System Information

System Information
Operating System iOS 16.0
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% 758
81.2 IPS
 
Image Classification (F16)
100% 718
76.9 IPS
 
Image Classification (I8)
81% 381
40.8 IPS
 
Image Segmentation (F32)
100% 1099
6.79 IPS
 
Image Segmentation (F16)
100% 1061
6.55 IPS
 
Image Segmentation (I8)
89% 1397
8.63 IPS
 
Pose Estimation (F32)
100% 398
1.61 IPS
 
Pose Estimation (F16)
100% 389
1.58 IPS
 
Pose Estimation (I8)
80% 469
1.90 IPS
 
Object Detection (F32)
100% 1052
36.9 IPS
 
Object Detection (F16)
100% 1057
37.1 IPS
 
Object Detection (I8)
52% 635
22.3 IPS
 
Face Detection (F32)
100% 1289
14.8 IPS
 
Face Detection (F16)
100% 1261
14.5 IPS
 
Face Detection (I8)
75% 820
9.42 IPS
 
Text Classification (F32)
100% 932
368.6 IPS
 
Text Classification (F16)
100% 895
353.9 IPS
 
Machine Translation (F32)
100% 2049
315.8 IPS
 
Machine Translation (F16)
100% 2037
313.9 IPS
 

Compare

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