Geekbench ML Score

980
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User M91
Upload Date June 10 2023 08:08 AM
Views 2

System Information

System Information
Operating System iOS 16.6
Model iPhone15,3
Model IDiPhone15,3
Motherboard D74AP
CPU Information
Name ARM
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.45 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% 823
88.1 IPS
 
Image Classification (F16)
100% 804
86.2 IPS
 
Image Classification (I8)
81% 486
52.1 IPS
 
Image Segmentation (F32)
100% 1195
7.38 IPS
 
Image Segmentation (F16)
100% 1159
7.16 IPS
 
Image Segmentation (I8)
89% 1489
9.20 IPS
 
Pose Estimation (F32)
100% 453
1.83 IPS
 
Pose Estimation (F16)
100% 448
1.81 IPS
 
Pose Estimation (I8)
80% 520
2.11 IPS
 
Object Detection (F32)
100% 1140
40.0 IPS
 
Object Detection (F16)
100% 1145
40.2 IPS
 
Object Detection (I8)
52% 766
26.9 IPS
 
Face Detection (F32)
100% 1462
16.8 IPS
 
Face Detection (F16)
100% 1438
16.5 IPS
 
Face Detection (I8)
75% 861
9.89 IPS
 
Text Classification (F32)
100% 1008
398.8 IPS
 
Text Classification (F16)
100% 1052
416.0 IPS
 
Machine Translation (F32)
100% 2268
349.6 IPS
 
Machine Translation (F16)
100% 2255
347.6 IPS
 

Compare

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