Geekbench ML Score

427
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2023 08:31 AM
Views 1

System Information

System Information
Operating System iOS 16.3.1
Model iPhone X
Model IDiPhone10,6
Motherboard D221AP
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 2.76 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 226
24.2 IPS
 
Image Classification (F16)
100% 246
26.4 IPS
 
Image Classification (I8)
81% 358
38.4 IPS
 
Image Segmentation (F32)
100% 739
4.56 IPS
 
Image Segmentation (F16)
100% 722
4.46 IPS
 
Image Segmentation (I8)
89% 661
4.08 IPS
 
Pose Estimation (F32)
100% 703
2.84 IPS
 
Pose Estimation (F16)
100% 701
2.84 IPS
 
Pose Estimation (I8)
80% 132
0.53 IPS
 
Object Detection (F32)
100% 483
17.0 IPS
 
Object Detection (F16)
100% 503
17.7 IPS
 
Object Detection (I8)
52% 512
18.0 IPS
 
Face Detection (F32)
100% 675
7.76 IPS
 
Face Detection (F16)
100% 756
8.69 IPS
 
Face Detection (I8)
75% 490
5.63 IPS
 
Text Classification (F32)
100% 113
44.7 IPS
 
Text Classification (F16)
100% 111
43.8 IPS
 
Machine Translation (F32)
100% 739
113.8 IPS
 
Machine Translation (F16)
100% 734
113.2 IPS
 

Compare

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