Geekbench ML Score

944
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2022 04:42 AM
Views 1

System Information

System Information
Operating System iOS 15.4.1
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 CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 786
84.2 IPS
 
Image Classification (F16)
100% 781
83.7 IPS
 
Image Classification (I8)
81% 454
48.6 IPS
 
Image Segmentation (F32)
100% 1173
7.24 IPS
 
Image Segmentation (F16)
100% 1155
7.14 IPS
 
Image Segmentation (I8)
89% 1444
8.92 IPS
 
Pose Estimation (F32)
100% 447
1.81 IPS
 
Pose Estimation (F16)
100% 436
1.77 IPS
 
Pose Estimation (I8)
80% 502
2.03 IPS
 
Object Detection (F32)
100% 1114
39.1 IPS
 
Object Detection (F16)
100% 1125
39.5 IPS
 
Object Detection (I8)
52% 710
24.9 IPS
 
Face Detection (F32)
100% 1377
15.8 IPS
 
Face Detection (F16)
100% 1352
15.5 IPS
 
Face Detection (I8)
75% 852
9.79 IPS
 
Text Classification (F32)
100% 1078
426.3 IPS
 
Text Classification (F16)
100% 1096
433.4 IPS
 
Machine Translation (F32)
100% 1961
302.2 IPS
 
Machine Translation (F16)
100% 1954
301.1 IPS
 

Compare

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