Geekbench ML Score

589
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 02:11 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% 559
59.9 IPS
 
Image Classification (F16)
100% 545
58.4 IPS
 
Image Classification (I8)
81% 177
19.0 IPS
 
Image Segmentation (F32)
100% 855
5.28 IPS
 
Image Segmentation (F16)
100% 830
5.13 IPS
 
Image Segmentation (I8)
89% 1082
6.68 IPS
 
Pose Estimation (F32)
100% 248
1.00 IPS
 
Pose Estimation (F16)
100% 245
0.99 IPS
 
Pose Estimation (I8)
80% 312
1.26 IPS
 
Object Detection (F32)
100% 789
27.7 IPS
 
Object Detection (F16)
100% 787
27.6 IPS
 
Object Detection (I8)
52% 410
14.4 IPS
 
Face Detection (F32)
100% 947
10.9 IPS
 
Face Detection (F16)
100% 940
10.8 IPS
 
Face Detection (I8)
75% 604
6.94 IPS
 
Text Classification (F32)
100% 530
209.6 IPS
 
Text Classification (F16)
100% 535
211.6 IPS
 
Machine Translation (F32)
100% 1200
185.0 IPS
 
Machine Translation (F16)
100% 1194
184.0 IPS
 

Compare

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