Geekbench ML Score

2767
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 09 2022 04:58 PM
Views 10

System Information

System Information
Operating System iOS 16.0
Model iPhone14,7
Model IDiPhone14,7
Motherboard D27AP
CPU Information
Name ARM
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 5.56 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6020
645.0 IPS
 
Image Classification (F16)
100% 5915
633.8 IPS
 
Image Classification (I8)
81% 694
74.4 IPS
 
Image Segmentation (F32)
100% 2156
13.3 IPS
 
Image Segmentation (F16)
100% 2177
13.4 IPS
 
Image Segmentation (I8)
89% 1161
7.17 IPS
 
Pose Estimation (F32)
100% 22740
92.0 IPS
 
Pose Estimation (F16)
100% 22378
90.5 IPS
 
Pose Estimation (I8)
80% 223
0.90 IPS
 
Object Detection (F32)
100% 7461
261.8 IPS
 
Object Detection (F16)
100% 7413
260.2 IPS
 
Object Detection (I8)
52% 918
32.2 IPS
 
Face Detection (F32)
100% 8709
100.1 IPS
 
Face Detection (F16)
100% 8707
100.0 IPS
 
Face Detection (I8)
75% 873
10.0 IPS
 
Text Classification (F32)
100% 1212
479.3 IPS
 
Text Classification (F16)
100% 1204
476.1 IPS
 
Machine Translation (F32)
100% 1632
251.5 IPS
 
Machine Translation (F16)
100% 2047
315.5 IPS
 

Compare

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