Geekbench ML Score

865
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2024 11:11 AM
Views 2

System Information

System Information
Operating System iOS 18.1.1
Model iPhone 12
Model IDiPhone13,2
Motherboard D53gAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.60 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 658
70.5 IPS
 
Image Classification (F16)
100% 613
65.7 IPS
 
Image Classification (I8)
81% 406
43.5 IPS
 
Image Segmentation (F32)
100% 979
6.04 IPS
 
Image Segmentation (F16)
100% 925
5.71 IPS
 
Image Segmentation (I8)
89% 1363
8.42 IPS
 
Pose Estimation (F32)
100% 337
1.36 IPS
 
Pose Estimation (F16)
100% 331
1.34 IPS
 
Pose Estimation (I8)
80% 418
1.69 IPS
 
Object Detection (F32)
100% 884
31.0 IPS
 
Object Detection (F16)
100% 875
30.7 IPS
 
Object Detection (I8)
52% 697
24.5 IPS
 
Face Detection (F32)
100% 1031
11.8 IPS
 
Face Detection (F16)
100% 1006
11.6 IPS
 
Face Detection (I8)
75% 815
9.36 IPS
 
Text Classification (F32)
100% 2362
934.1 IPS
 
Text Classification (F16)
100% 2378
940.5 IPS
 
Machine Translation (F32)
100% 1639
252.5 IPS
 
Machine Translation (F16)
100% 1641
253.0 IPS
 

Compare

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