Geekbench ML Score

2852
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date July 16 2022 03:08 PM
Views 1

System Information

System Information
Operating System iOS 16.0
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 3.57 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6365
682.0 IPS
 
Image Classification (F16)
100% 6293
674.3 IPS
 
Image Classification (I8)
81% 694
74.3 IPS
 
Image Segmentation (F32)
100% 2163
13.4 IPS
 
Image Segmentation (F16)
100% 2089
12.9 IPS
 
Image Segmentation (I8)
89% 1186
7.32 IPS
 
Pose Estimation (F32)
100% 24041
97.3 IPS
 
Pose Estimation (F16)
100% 23439
94.8 IPS
 
Pose Estimation (I8)
80% 236
0.96 IPS
 
Object Detection (F32)
100% 7506
263.4 IPS
 
Object Detection (F16)
100% 7592
266.4 IPS
 
Object Detection (I8)
52% 979
34.4 IPS
 
Face Detection (F32)
100% 8820
101.3 IPS
 
Face Detection (F16)
100% 8749
100.5 IPS
 
Face Detection (I8)
75% 905
10.4 IPS
 
Text Classification (F32)
100% 1185
468.9 IPS
 
Text Classification (F16)
100% 1180
466.8 IPS
 
Machine Translation (F32)
100% 2029
312.7 IPS
 
Machine Translation (F16)
100% 2041
314.6 IPS
 

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