Geekbench ML Score

1003
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User gkoblavi
Upload Date September 27 2022 12:45 AM
Views 3

System Information

System Information
Operating System iOS 16.0.1
Model iPhone15,2
Model IDiPhone15,2
Motherboard D73AP
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 5.51 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 828
88.7 IPS
 
Image Classification (F16)
100% 838
89.8 IPS
 
Image Classification (I8)
81% 488
52.3 IPS
 
Image Segmentation (F32)
100% 1267
7.83 IPS
 
Image Segmentation (F16)
100% 1227
7.58 IPS
 
Image Segmentation (I8)
89% 1509
9.32 IPS
 
Pose Estimation (F32)
100% 471
1.91 IPS
 
Pose Estimation (F16)
100% 468
1.89 IPS
 
Pose Estimation (I8)
80% 529
2.14 IPS
 
Object Detection (F32)
100% 1230
43.2 IPS
 
Object Detection (F16)
100% 1201
42.2 IPS
 
Object Detection (I8)
52% 761
26.7 IPS
 
Face Detection (F32)
100% 1509
17.3 IPS
 
Face Detection (F16)
100% 1488
17.1 IPS
 
Face Detection (I8)
75% 854
9.81 IPS
 
Text Classification (F32)
100% 969
383.2 IPS
 
Text Classification (F16)
100% 1100
435.1 IPS
 
Machine Translation (F32)
100% 2233
344.1 IPS
 
Machine Translation (F16)
100% 2250
346.7 IPS
 

Compare

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