Geekbench ML Score

917
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 12:12 AM
Views 1

System Information

System Information
Operating System iOS 16.2
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 CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 770
82.5 IPS
 
Image Classification (F16)
100% 751
80.4 IPS
 
Image Classification (I8)
81% 466
49.9 IPS
 
Image Segmentation (F32)
100% 1121
6.93 IPS
 
Image Segmentation (F16)
100% 1082
6.68 IPS
 
Image Segmentation (I8)
89% 1453
8.97 IPS
 
Pose Estimation (F32)
100% 434
1.76 IPS
 
Pose Estimation (F16)
100% 427
1.73 IPS
 
Pose Estimation (I8)
80% 494
2.00 IPS
 
Object Detection (F32)
100% 1089
38.2 IPS
 
Object Detection (F16)
100% 1094
38.4 IPS
 
Object Detection (I8)
52% 766
26.9 IPS
 
Face Detection (F32)
100% 1328
15.3 IPS
 
Face Detection (F16)
100% 1309
15.0 IPS
 
Face Detection (I8)
75% 849
9.76 IPS
 
Text Classification (F32)
100% 1061
419.5 IPS
 
Text Classification (F16)
100% 909
359.4 IPS
 
Machine Translation (F32)
100% 1881
289.9 IPS
 
Machine Translation (F16)
100% 1849
284.9 IPS
 

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