Geekbench ML Score

3559
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date August 01 2024 07:31 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 15
Model IDiPhone15,4
Motherboard D37AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.53 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1443
270.1 IPS
 
Image Classification (F16)
100% 1864
348.8 IPS
 
Image Classification (I8)
99% 1879
351.6 IPS
 
Image Segmentation (F32)
100% 877
14.6 IPS
 
Image Segmentation (F16)
100% 874
14.6 IPS
 
Image Segmentation (I8)
100% 867
14.5 IPS
 
Pose Estimation (F32)
100% 5971
7.23 IPS
 
Pose Estimation (F16)
100% 14160
17.1 IPS
 
Pose Estimation (I8)
100% 14249
17.3 IPS
 
Object Detection (F32)
100% 1466
109.4 IPS
 
Object Detection (F16)
100% 2015
150.4 IPS
 
Object Detection (I8)
97% 1466
109.5 IPS
 
Face Detection (F32)
100% 2764
32.9 IPS
 
Face Detection (F16)
97% 4381
52.1 IPS
 
Face Detection (I8)
97% 4368
51.9 IPS
 
Depth Estimation (F32)
100% 5355
41.5 IPS
 
Depth Estimation (F16)
100% 8648
67.1 IPS
 
Depth Estimation (I8)
99% 8676
67.3 IPS
 
Style Transfer (F32)
100% 17278
22.7 IPS
 
Style Transfer (F16)
100% 26470
34.8 IPS
 
Style Transfer (I8)
100% 26427
34.8 IPS
 
Image Super-Resolution (F32)
100% 4048
144.6 IPS
 
Image Super-Resolution (F16)
100% 5010
178.9 IPS
 
Image Super-Resolution (I8)
100% 5041
180.0 IPS
 
Text Classification (F32)
100% 2371
3.41 KIPS
 
Text Classification (F16)
100% 4081
5.87 KIPS
 
Text Classification (I8)
96% 3920
5.63 KIPS
 
Machine Translation (F32)
100% 1200
22.1 IPS
 
Machine Translation (F16)
100% 1460
26.9 IPS
 
Machine Translation (I8)
99% 1136
20.9 IPS
 

Compare

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