Geekbench ML Score

1936
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 07 2025 06:02 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% 942
176.2 IPS
 
Image Classification (F16)
100% 910
170.2 IPS
 
Image Classification (I8)
99% 914
171.0 IPS
 
Image Segmentation (F32)
100% 639
10.7 IPS
 
Image Segmentation (F16)
100% 578
9.65 IPS
 
Image Segmentation (I8)
100% 579
9.67 IPS
 
Pose Estimation (F32)
100% 5533
6.70 IPS
 
Pose Estimation (F16)
100% 9593
11.6 IPS
 
Pose Estimation (I8)
100% 9583
11.6 IPS
 
Object Detection (F32)
100% 1022
76.3 IPS
 
Object Detection (F16)
100% 1050
78.4 IPS
 
Object Detection (I8)
97% 1036
77.4 IPS
 
Face Detection (F32)
100% 1769
21.0 IPS
 
Face Detection (F16)
100% 1623
19.3 IPS
 
Face Detection (I8)
99% 1614
19.2 IPS
 
Depth Estimation (F32)
100% 3273
25.4 IPS
 
Depth Estimation (F16)
99% 3638
28.2 IPS
 
Depth Estimation (I8)
99% 3669
28.5 IPS
 
Style Transfer (F32)
100% 9927
13.1 IPS
 
Style Transfer (F16)
100% 11751
15.5 IPS
 
Style Transfer (I8)
100% 11791
15.5 IPS
 
Image Super-Resolution (F32)
100% 2413
86.2 IPS
 
Image Super-Resolution (F16)
100% 2556
91.3 IPS
 
Image Super-Resolution (I8)
100% 2552
91.1 IPS
 
Text Classification (F32)
100% 987
1.42 KIPS
 
Text Classification (F16)
100% 471
676.3 IPS
 
Text Classification (I8)
96% 641
921.4 IPS
 
Machine Translation (F32)
100% 1360
25.0 IPS
 
Machine Translation (F16)
99% 1794
33.0 IPS
 
Machine Translation (I8)
99% 1351
24.9 IPS
 

Compare

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