Geekbench ML Score

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

Result Information

Upload Date March 11 2025 03:40 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% 948
177.3 IPS
 
Image Classification (F16)
100% 907
169.7 IPS
 
Image Classification (I8)
99% 910
170.2 IPS
 
Image Segmentation (F32)
100% 635
10.6 IPS
 
Image Segmentation (F16)
100% 580
9.69 IPS
 
Image Segmentation (I8)
100% 579
9.66 IPS
 
Pose Estimation (F32)
100% 5464
6.62 IPS
 
Pose Estimation (F16)
100% 9629
11.7 IPS
 
Pose Estimation (I8)
100% 9540
11.6 IPS
 
Object Detection (F32)
100% 1028
76.7 IPS
 
Object Detection (F16)
100% 1053
78.6 IPS
 
Object Detection (I8)
97% 1053
78.6 IPS
 
Face Detection (F32)
100% 1777
21.1 IPS
 
Face Detection (F16)
100% 1620
19.3 IPS
 
Face Detection (I8)
99% 1615
19.2 IPS
 
Depth Estimation (F32)
100% 3216
24.9 IPS
 
Depth Estimation (F16)
99% 3639
28.2 IPS
 
Depth Estimation (I8)
99% 3629
28.1 IPS
 
Style Transfer (F32)
100% 9931
13.1 IPS
 
Style Transfer (F16)
100% 11749
15.5 IPS
 
Style Transfer (I8)
100% 11783
15.5 IPS
 
Image Super-Resolution (F32)
100% 2424
86.6 IPS
 
Image Super-Resolution (F16)
100% 2554
91.2 IPS
 
Image Super-Resolution (I8)
100% 2557
91.3 IPS
 
Text Classification (F32)
100% 982
1.41 KIPS
 
Text Classification (F16)
100% 461
662.3 IPS
 
Text Classification (I8)
96% 619
889.1 IPS
 
Machine Translation (F32)
100% 1347
24.8 IPS
 
Machine Translation (F16)
99% 1781
32.8 IPS
 
Machine Translation (I8)
99% 1340
24.7 IPS
 

Compare

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