Geekbench ML Score

2861
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 30 2022 02:45 AM
Views 1

System Information

System Information
Operating System iOS 16.0.2
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6068
650.2 IPS
 
Image Classification (F16)
100% 6088
652.3 IPS
 
Image Classification (I8)
81% 697
74.7 IPS
 
Image Segmentation (F32)
100% 2176
13.4 IPS
 
Image Segmentation (F16)
100% 2275
14.1 IPS
 
Image Segmentation (I8)
89% 1276
7.88 IPS
 
Pose Estimation (F32)
100% 23837
96.5 IPS
 
Pose Estimation (F16)
100% 23107
93.5 IPS
 
Pose Estimation (I8)
80% 241
0.97 IPS
 
Object Detection (F32)
100% 7496
263.1 IPS
 
Object Detection (F16)
100% 7385
259.2 IPS
 
Object Detection (I8)
52% 997
35.0 IPS
 
Face Detection (F32)
100% 8643
99.3 IPS
 
Face Detection (F16)
100% 8646
99.3 IPS
 
Face Detection (I8)
75% 972
11.2 IPS
 
Text Classification (F32)
100% 1150
454.8 IPS
 
Text Classification (F16)
100% 1157
457.4 IPS
 
Machine Translation (F32)
100% 2030
312.9 IPS
 
Machine Translation (F16)
100% 2023
311.8 IPS
 

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