Geekbench ML Score

2810
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 24 2022 06:50 PM
Views 1

System Information

System Information
Operating System iOS 16.2
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 Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6162
660.3 IPS
 
Image Classification (F16)
100% 6208
665.2 IPS
 
Image Classification (I8)
81% 675
72.4 IPS
 
Image Segmentation (F32)
100% 2092
12.9 IPS
 
Image Segmentation (F16)
100% 2051
12.7 IPS
 
Image Segmentation (I8)
89% 1151
7.11 IPS
 
Pose Estimation (F32)
100% 23411
94.7 IPS
 
Pose Estimation (F16)
100% 24552
99.3 IPS
 
Pose Estimation (I8)
80% 219
0.89 IPS
 
Object Detection (F32)
100% 7856
275.7 IPS
 
Object Detection (F16)
100% 7940
278.7 IPS
 
Object Detection (I8)
52% 919
32.2 IPS
 
Face Detection (F32)
100% 8672
99.6 IPS
 
Face Detection (F16)
100% 8656
99.5 IPS
 
Face Detection (I8)
75% 876
10.1 IPS
 
Text Classification (F32)
100% 1156
457.1 IPS
 
Text Classification (F16)
100% 1146
453.2 IPS
 
Machine Translation (F32)
100% 2049
315.8 IPS
 
Machine Translation (F16)
100% 2048
315.7 IPS
 

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