Geekbench ML Score

702
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date June 10 2023 07:15 AM
Views 1

System Information

System Information
Operating System iOS 16.5
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 CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 549
58.9 IPS
 
Image Classification (F16)
100% 538
57.6 IPS
 
Image Classification (I8)
81% 318
34.1 IPS
 
Image Segmentation (F32)
100% 873
5.39 IPS
 
Image Segmentation (F16)
100% 858
5.30 IPS
 
Image Segmentation (I8)
89% 1111
6.86 IPS
 
Pose Estimation (F32)
100% 279
1.13 IPS
 
Pose Estimation (F16)
100% 216
0.87 IPS
 
Pose Estimation (I8)
80% 300
1.21 IPS
 
Object Detection (F32)
100% 776
27.2 IPS
 
Object Detection (F16)
100% 767
26.9 IPS
 
Object Detection (I8)
52% 593
20.8 IPS
 
Face Detection (F32)
100% 920
10.6 IPS
 
Face Detection (F16)
100% 940
10.8 IPS
 
Face Detection (I8)
75% 709
8.15 IPS
 
Text Classification (F32)
100% 1706
674.8 IPS
 
Text Classification (F16)
100% 1677
663.4 IPS
 
Machine Translation (F32)
100% 1175
181.1 IPS
 
Machine Translation (F16)
100% 1191
183.5 IPS
 

Compare

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