Geekbench ML Score

937
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 06:41 PM
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 CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 795
85.2 IPS
 
Image Classification (F16)
100% 763
81.7 IPS
 
Image Classification (I8)
81% 448
48.1 IPS
 
Image Segmentation (F32)
100% 1131
6.99 IPS
 
Image Segmentation (F16)
100% 1117
6.90 IPS
 
Image Segmentation (I8)
89% 1447
8.94 IPS
 
Pose Estimation (F32)
100% 444
1.80 IPS
 
Pose Estimation (F16)
100% 431
1.74 IPS
 
Pose Estimation (I8)
80% 503
2.03 IPS
 
Object Detection (F32)
100% 1121
39.3 IPS
 
Object Detection (F16)
100% 1107
38.8 IPS
 
Object Detection (I8)
52% 759
26.6 IPS
 
Face Detection (F32)
100% 1340
15.4 IPS
 
Face Detection (F16)
100% 1329
15.3 IPS
 
Face Detection (I8)
75% 857
9.85 IPS
 
Text Classification (F32)
100% 959
379.2 IPS
 
Text Classification (F16)
100% 1086
429.5 IPS
 
Machine Translation (F32)
100% 2025
312.1 IPS
 
Machine Translation (F16)
100% 2022
311.7 IPS
 

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