Geekbench ML Score

1920
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 17 2025 05:49 PM
Views 3

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% 959
179.5 IPS
 
Image Classification (F16)
100% 907
169.7 IPS
 
Image Classification (I8)
99% 915
171.3 IPS
 
Image Segmentation (F32)
100% 637
10.6 IPS
 
Image Segmentation (F16)
100% 578
9.66 IPS
 
Image Segmentation (I8)
100% 578
9.65 IPS
 
Pose Estimation (F32)
100% 5465
6.62 IPS
 
Pose Estimation (F16)
100% 9593
11.6 IPS
 
Pose Estimation (I8)
100% 9480
11.5 IPS
 
Object Detection (F32)
100% 1027
76.7 IPS
 
Object Detection (F16)
100% 1042
77.8 IPS
 
Object Detection (I8)
97% 1026
76.6 IPS
 
Face Detection (F32)
100% 1753
20.8 IPS
 
Face Detection (F16)
100% 1608
19.1 IPS
 
Face Detection (I8)
99% 1604
19.1 IPS
 
Depth Estimation (F32)
100% 3235
25.1 IPS
 
Depth Estimation (F16)
99% 3664
28.4 IPS
 
Depth Estimation (I8)
99% 3648
28.3 IPS
 
Style Transfer (F32)
100% 9926
13.1 IPS
 
Style Transfer (F16)
100% 11757
15.5 IPS
 
Style Transfer (I8)
100% 11728
15.4 IPS
 
Image Super-Resolution (F32)
100% 2402
85.8 IPS
 
Image Super-Resolution (F16)
100% 2540
90.7 IPS
 
Image Super-Resolution (I8)
100% 2533
90.4 IPS
 
Text Classification (F32)
100% 971
1.40 KIPS
 
Text Classification (F16)
100% 452
649.6 IPS
 
Text Classification (I8)
96% 590
848.3 IPS
 
Machine Translation (F32)
100% 1350
24.8 IPS
 
Machine Translation (F16)
99% 1783
32.8 IPS
 
Machine Translation (I8)
99% 1342
24.7 IPS
 

Compare

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