Geekbench ML Score

929
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date April 21 2022 09:35 PM
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% 772
82.8 IPS
 
Image Classification (F16)
100% 749
80.3 IPS
 
Image Classification (I8)
81% 461
49.4 IPS
 
Image Segmentation (F32)
100% 1114
6.88 IPS
 
Image Segmentation (F16)
100% 1083
6.69 IPS
 
Image Segmentation (I8)
89% 1448
8.94 IPS
 
Pose Estimation (F32)
100% 433
1.75 IPS
 
Pose Estimation (F16)
100% 427
1.73 IPS
 
Pose Estimation (I8)
80% 493
2.00 IPS
 
Object Detection (F32)
100% 1103
38.7 IPS
 
Object Detection (F16)
100% 1103
38.7 IPS
 
Object Detection (I8)
52% 767
26.9 IPS
 
Face Detection (F32)
100% 1325
15.2 IPS
 
Face Detection (F16)
100% 1311
15.1 IPS
 
Face Detection (I8)
75% 854
9.81 IPS
 
Text Classification (F32)
100% 1036
409.8 IPS
 
Text Classification (F16)
100% 1077
425.8 IPS
 
Machine Translation (F32)
100% 1962
302.5 IPS
 
Machine Translation (F16)
100% 1958
301.7 IPS
 

Compare

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