Geekbench ML Score

1930
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 13 2025 03:10 PM
Views 4

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% 955
178.6 IPS
 
Image Classification (F16)
100% 915
171.2 IPS
 
Image Classification (I8)
99% 921
172.3 IPS
 
Image Segmentation (F32)
100% 640
10.7 IPS
 
Image Segmentation (F16)
100% 582
9.71 IPS
 
Image Segmentation (I8)
100% 574
9.58 IPS
 
Pose Estimation (F32)
100% 5471
6.62 IPS
 
Pose Estimation (F16)
100% 9661
11.7 IPS
 
Pose Estimation (I8)
100% 9576
11.6 IPS
 
Object Detection (F32)
100% 1016
75.8 IPS
 
Object Detection (F16)
100% 1054
78.7 IPS
 
Object Detection (I8)
97% 1036
77.3 IPS
 
Face Detection (F32)
100% 1752
20.8 IPS
 
Face Detection (F16)
100% 1611
19.2 IPS
 
Face Detection (I8)
99% 1606
19.1 IPS
 
Depth Estimation (F32)
100% 3277
25.4 IPS
 
Depth Estimation (F16)
99% 3684
28.6 IPS
 
Depth Estimation (I8)
99% 3643
28.3 IPS
 
Style Transfer (F32)
100% 9952
13.1 IPS
 
Style Transfer (F16)
100% 11761
15.5 IPS
 
Style Transfer (I8)
100% 11789
15.5 IPS
 
Image Super-Resolution (F32)
100% 2414
86.2 IPS
 
Image Super-Resolution (F16)
100% 2533
90.4 IPS
 
Image Super-Resolution (I8)
100% 2547
91.0 IPS
 
Text Classification (F32)
100% 985
1.42 KIPS
 
Text Classification (F16)
100% 468
672.1 IPS
 
Text Classification (I8)
96% 608
873.8 IPS
 
Machine Translation (F32)
100% 1350
24.9 IPS
 
Machine Translation (F16)
99% 1778
32.7 IPS
 
Machine Translation (I8)
99% 1339
24.7 IPS
 

Compare

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