Geekbench ML Score

2687
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 03:01 PM
Views 1

System Information

System Information
Operating System iOS 16.2
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 3.56 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6246
669.2 IPS
 
Image Classification (F16)
100% 6333
678.6 IPS
 
Image Classification (I8)
81% 567
60.8 IPS
 
Image Segmentation (F32)
100% 1774
11.0 IPS
 
Image Segmentation (F16)
100% 1769
10.9 IPS
 
Image Segmentation (I8)
89% 1081
6.68 IPS
 
Pose Estimation (F32)
100% 18676
75.6 IPS
 
Pose Estimation (F16)
100% 24088
97.5 IPS
 
Pose Estimation (I8)
80% 208
0.84 IPS
 
Object Detection (F32)
100% 7397
259.6 IPS
 
Object Detection (F16)
100% 7783
273.1 IPS
 
Object Detection (I8)
52% 891
31.3 IPS
 
Face Detection (F32)
100% 8719
100.2 IPS
 
Face Detection (F16)
100% 8760
100.6 IPS
 
Face Detection (I8)
75% 848
9.75 IPS
 
Text Classification (F32)
100% 1230
486.3 IPS
 
Text Classification (F16)
100% 1198
473.8 IPS
 
Machine Translation (F32)
100% 2029
312.7 IPS
 
Machine Translation (F16)
100% 2037
314.0 IPS
 

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