Geekbench ML Score

1927
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 25 2025 05:46 PM
Views 5

System Information

System Information
Operating System iOS 16.3.1
Model iPhone 14
Model IDiPhone14,7
Motherboard D27AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 5.56 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 941
176.0 IPS
 
Image Classification (F16)
100% 909
170.1 IPS
 
Image Classification (I8)
99% 914
171.1 IPS
 
Image Segmentation (F32)
100% 632
10.6 IPS
 
Image Segmentation (F16)
100% 574
9.58 IPS
 
Image Segmentation (I8)
100% 556
9.29 IPS
 
Pose Estimation (F32)
100% 5369
6.50 IPS
 
Pose Estimation (F16)
100% 9639
11.7 IPS
 
Pose Estimation (I8)
100% 9571
11.6 IPS
 
Object Detection (F32)
100% 1045
78.0 IPS
 
Object Detection (F16)
100% 1053
78.6 IPS
 
Object Detection (I8)
97% 1025
76.5 IPS
 
Face Detection (F32)
100% 1749
20.8 IPS
 
Face Detection (F16)
100% 1607
19.1 IPS
 
Face Detection (I8)
99% 1598
19.0 IPS
 
Depth Estimation (F32)
100% 3256
25.3 IPS
 
Depth Estimation (F16)
99% 3644
28.3 IPS
 
Depth Estimation (I8)
99% 3576
27.7 IPS
 
Style Transfer (F32)
100% 9958
13.1 IPS
 
Style Transfer (F16)
100% 11736
15.4 IPS
 
Style Transfer (I8)
100% 11767
15.5 IPS
 
Image Super-Resolution (F32)
100% 2431
86.8 IPS
 
Image Super-Resolution (F16)
100% 2547
91.0 IPS
 
Image Super-Resolution (I8)
100% 2561
91.5 IPS
 
Text Classification (F32)
100% 998
1.43 KIPS
 
Text Classification (F16)
100% 475
682.7 IPS
 
Text Classification (I8)
96% 648
931.4 IPS
 
Machine Translation (F32)
100% 1353
24.9 IPS
 
Machine Translation (F16)
99% 1756
32.3 IPS
 
Machine Translation (I8)
99% 1336
24.6 IPS
 

Compare

Set Baseline Geekbench 6 now available