Geekbench ML Score

1942
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 14 2025 09:31 PM
Views 7

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% 904
169.2 IPS
 
Image Classification (I8)
99% 910
170.2 IPS
 
Image Segmentation (F32)
100% 644
10.8 IPS
 
Image Segmentation (F16)
100% 582
9.72 IPS
 
Image Segmentation (I8)
100% 579
9.67 IPS
 
Pose Estimation (F32)
100% 5468
6.62 IPS
 
Pose Estimation (F16)
100% 9558
11.6 IPS
 
Pose Estimation (I8)
100% 9564
11.6 IPS
 
Object Detection (F32)
100% 1041
77.7 IPS
 
Object Detection (F16)
100% 1051
78.5 IPS
 
Object Detection (I8)
97% 1063
79.4 IPS
 
Face Detection (F32)
100% 1780
21.2 IPS
 
Face Detection (F16)
100% 1628
19.4 IPS
 
Face Detection (I8)
99% 1633
19.4 IPS
 
Depth Estimation (F32)
100% 3254
25.2 IPS
 
Depth Estimation (F16)
99% 3662
28.4 IPS
 
Depth Estimation (I8)
99% 3646
28.3 IPS
 
Style Transfer (F32)
100% 9921
13.1 IPS
 
Style Transfer (F16)
100% 11828
15.6 IPS
 
Style Transfer (I8)
100% 11776
15.5 IPS
 
Image Super-Resolution (F32)
100% 2418
86.4 IPS
 
Image Super-Resolution (F16)
100% 2549
91.0 IPS
 
Image Super-Resolution (I8)
100% 2563
91.5 IPS
 
Text Classification (F32)
100% 990
1.42 KIPS
 
Text Classification (F16)
100% 482
692.1 IPS
 
Text Classification (I8)
96% 645
927.5 IPS
 
Machine Translation (F32)
100% 1355
24.9 IPS
 
Machine Translation (F16)
99% 1787
32.9 IPS
 
Machine Translation (I8)
99% 1352
24.9 IPS
 

Compare

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