Geekbench ML Score

1789
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2023 09:56 AM
Views 1

System Information

System Information
Operating System iOS 16.0.2
Model iPhone 11
Model IDiPhone12,1
Motherboard N104AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.76 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4479
479.9 IPS
 
Image Classification (F16)
100% 4473
479.3 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 1485
9.17 IPS
 
Image Segmentation (F16)
100% 1484
9.17 IPS
 
Image Segmentation (I8)
89% 838
5.17 IPS
 
Pose Estimation (F32)
100% 8610
34.8 IPS
 
Pose Estimation (F16)
100% 8721
35.3 IPS
 
Pose Estimation (I8)
80% 154
0.62 IPS
 
Object Detection (F32)
94% 4976
174.6 IPS
 
Object Detection (F16)
94% 4928
172.9 IPS
 
Object Detection (I8)
52% 633
22.2 IPS
 
Face Detection (F32)
67% 5769
66.3 IPS
 
Face Detection (F16)
67% 5791
66.5 IPS
 
Face Detection (I8)
75% 635
7.30 IPS
 
Text Classification (F32)
100% 835
330.3 IPS
 
Text Classification (F16)
100% 840
332.1 IPS
 
Machine Translation (F32)
100% 1193
183.8 IPS
 
Machine Translation (F16)
100% 1191
183.6 IPS
 

Compare

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