Geekbench ML Score

903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date August 08 2023 09:42 AM
Views 3

System Information

System Information
Operating System iOS 17.0
Model iPhone 13
Model IDiPhone14,5
Motherboard D17AP
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 3.55 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 760
81.4 IPS
 
Image Classification (F16)
100% 710
76.1 IPS
 
Image Classification (I8)
81% 456
48.9 IPS
 
Image Segmentation (F32)
100% 1057
6.53 IPS
 
Image Segmentation (F16)
100% 991
6.12 IPS
 
Image Segmentation (I8)
89% 1443
8.91 IPS
 
Pose Estimation (F32)
100% 391
1.58 IPS
 
Pose Estimation (F16)
100% 379
1.53 IPS
 
Pose Estimation (I8)
80% 448
1.81 IPS
 
Object Detection (F32)
100% 978
34.3 IPS
 
Object Detection (F16)
100% 971
34.1 IPS
 
Object Detection (I8)
52% 731
25.7 IPS
 
Face Detection (F32)
100% 1203
13.8 IPS
 
Face Detection (F16)
100% 1191
13.7 IPS
 
Face Detection (I8)
75% 837
9.61 IPS
 
Text Classification (F32)
100% 1315
520.0 IPS
 
Text Classification (F16)
100% 1269
501.9 IPS
 
Machine Translation (F32)
100% 2054
316.6 IPS
 
Machine Translation (F16)
100% 2059
317.4 IPS
 

Compare

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