Geekbench ML Score

3178
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 05:41 AM
Views 2

System Information

System Information
Operating System iOS 16.1
Model iPhone15,3
Model IDiPhone15,3
Motherboard D74AP
CPU Information
Name ARM
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.44 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 6986
748.5 IPS
 
Image Classification (F16)
100% 6970
746.8 IPS
 
Image Classification (I8)
81% 744
79.7 IPS
 
Image Segmentation (F32)
100% 2323
14.3 IPS
 
Image Segmentation (F16)
100% 2458
15.2 IPS
 
Image Segmentation (I8)
89% 1363
8.42 IPS
 
Pose Estimation (F32)
100% 25325
102.5 IPS
 
Pose Estimation (F16)
100% 26447
107.0 IPS
 
Pose Estimation (I8)
80% 258
1.04 IPS
 
Object Detection (F32)
100% 8824
309.7 IPS
 
Object Detection (F16)
100% 9047
317.5 IPS
 
Object Detection (I8)
52% 1067
37.4 IPS
 
Face Detection (F32)
100% 10324
118.6 IPS
 
Face Detection (F16)
100% 10180
117.0 IPS
 
Face Detection (I8)
75% 1043
12.0 IPS
 
Text Classification (F32)
100% 1226
484.8 IPS
 
Text Classification (F16)
100% 1222
483.2 IPS
 
Machine Translation (F32)
100% 2260
348.3 IPS
 
Machine Translation (F16)
100% 2260
348.4 IPS
 

Compare

Set Baseline

Share

Geekbench ML now available for download