Geekbench ML Score

1894
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 27 2025 08:26 PM
Views 1

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% 933
174.7 IPS
 
Image Classification (F16)
100% 863
161.6 IPS
 
Image Classification (I8)
99% 892
167.0 IPS
 
Image Segmentation (F32)
100% 602
10.1 IPS
 
Image Segmentation (F16)
100% 541
9.03 IPS
 
Image Segmentation (I8)
100% 542
9.05 IPS
 
Pose Estimation (F32)
100% 5298
6.42 IPS
 
Pose Estimation (F16)
100% 9537
11.5 IPS
 
Pose Estimation (I8)
100% 9525
11.5 IPS
 
Object Detection (F32)
100% 1000
74.7 IPS
 
Object Detection (F16)
100% 1032
77.0 IPS
 
Object Detection (I8)
97% 1011
75.5 IPS
 
Face Detection (F32)
100% 1769
21.0 IPS
 
Face Detection (F16)
100% 1590
18.9 IPS
 
Face Detection (I8)
99% 1563
18.6 IPS
 
Depth Estimation (F32)
100% 3217
24.9 IPS
 
Depth Estimation (F16)
99% 3648
28.3 IPS
 
Depth Estimation (I8)
99% 3630
28.1 IPS
 
Style Transfer (F32)
100% 9868
13.0 IPS
 
Style Transfer (F16)
100% 11757
15.5 IPS
 
Style Transfer (I8)
100% 11727
15.4 IPS
 
Image Super-Resolution (F32)
100% 2428
86.7 IPS
 
Image Super-Resolution (F16)
100% 2548
91.0 IPS
 
Image Super-Resolution (I8)
100% 2547
91.0 IPS
 
Text Classification (F32)
100% 973
1.40 KIPS
 
Text Classification (F16)
100% 450
646.9 IPS
 
Text Classification (I8)
96% 591
849.4 IPS
 
Machine Translation (F32)
100% 1354
24.9 IPS
 
Machine Translation (F16)
99% 1753
32.3 IPS
 
Machine Translation (I8)
99% 1348
24.8 IPS
 

Compare

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