Geekbench ML Score

1941
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date January 29 2025 05:52 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% 942
176.3 IPS
 
Image Classification (F16)
100% 913
170.9 IPS
 
Image Classification (I8)
99% 916
171.4 IPS
 
Image Segmentation (F32)
100% 644
10.8 IPS
 
Image Segmentation (F16)
100% 580
9.69 IPS
 
Image Segmentation (I8)
100% 580
9.69 IPS
 
Pose Estimation (F32)
100% 5486
6.64 IPS
 
Pose Estimation (F16)
100% 9640
11.7 IPS
 
Pose Estimation (I8)
100% 9597
11.6 IPS
 
Object Detection (F32)
100% 1033
77.1 IPS
 
Object Detection (F16)
100% 1052
78.6 IPS
 
Object Detection (I8)
97% 1050
78.4 IPS
 
Face Detection (F32)
100% 1807
21.5 IPS
 
Face Detection (F16)
100% 1638
19.5 IPS
 
Face Detection (I8)
99% 1639
19.5 IPS
 
Depth Estimation (F32)
100% 3295
25.6 IPS
 
Depth Estimation (F16)
99% 3678
28.5 IPS
 
Depth Estimation (I8)
99% 3638
28.2 IPS
 
Style Transfer (F32)
100% 9956
13.1 IPS
 
Style Transfer (F16)
100% 11768
15.5 IPS
 
Style Transfer (I8)
100% 11802
15.5 IPS
 
Image Super-Resolution (F32)
100% 2425
86.6 IPS
 
Image Super-Resolution (F16)
100% 2577
92.0 IPS
 
Image Super-Resolution (I8)
100% 2557
91.3 IPS
 
Text Classification (F32)
100% 1000
1.44 KIPS
 
Text Classification (F16)
100% 463
665.8 IPS
 
Text Classification (I8)
96% 611
878.0 IPS
 
Machine Translation (F32)
100% 1356
25.0 IPS
 
Machine Translation (F16)
99% 1783
32.8 IPS
 
Machine Translation (I8)
99% 1377
25.3 IPS
 

Compare

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