Geekbench ML Score

420
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User UnblackMAXmetal
Upload Date August 12 2023 04:33 PM
Views 3

System Information

System Information
Operating System iOS 16.6
Model iPhone 8
Model IDiPhone10,4
Motherboard D201AP
CPU Information
Name Apple A11 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.39 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 1.93 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 208
22.2 IPS
 
Image Classification (F16)
100% 212
22.8 IPS
 
Image Classification (I8)
81% 360
38.6 IPS
 
Image Segmentation (F32)
100% 689
4.26 IPS
 
Image Segmentation (F16)
100% 705
4.35 IPS
 
Image Segmentation (I8)
89% 662
4.09 IPS
 
Pose Estimation (F32)
100% 691
2.80 IPS
 
Pose Estimation (F16)
100% 659
2.67 IPS
 
Pose Estimation (I8)
80% 132
0.53 IPS
 
Object Detection (F32)
100% 474
16.6 IPS
 
Object Detection (F16)
100% 524
18.4 IPS
 
Object Detection (I8)
52% 508
17.8 IPS
 
Face Detection (F32)
100% 696
8.00 IPS
 
Face Detection (F16)
100% 771
8.86 IPS
 
Face Detection (I8)
75% 491
5.64 IPS
 
Text Classification (F32)
100% 111
43.8 IPS
 
Text Classification (F16)
100% 110
43.4 IPS
 
Machine Translation (F32)
100% 763
117.6 IPS
 
Machine Translation (F16)
100% 748
115.3 IPS
 

Compare

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