Geekbench ML Score

1938
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 11 2025 04:18 PM
Views 4

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% 955
178.6 IPS
 
Image Classification (F16)
100% 915
171.2 IPS
 
Image Classification (I8)
99% 916
171.4 IPS
 
Image Segmentation (F32)
100% 633
10.6 IPS
 
Image Segmentation (F16)
100% 575
9.60 IPS
 
Image Segmentation (I8)
100% 576
9.61 IPS
 
Pose Estimation (F32)
100% 5433
6.58 IPS
 
Pose Estimation (F16)
100% 9645
11.7 IPS
 
Pose Estimation (I8)
100% 9560
11.6 IPS
 
Object Detection (F32)
100% 1034
77.2 IPS
 
Object Detection (F16)
100% 1048
78.2 IPS
 
Object Detection (I8)
97% 1034
77.2 IPS
 
Face Detection (F32)
100% 1761
20.9 IPS
 
Face Detection (F16)
100% 1629
19.4 IPS
 
Face Detection (I8)
99% 1618
19.2 IPS
 
Depth Estimation (F32)
100% 3259
25.3 IPS
 
Depth Estimation (F16)
99% 3704
28.7 IPS
 
Depth Estimation (I8)
99% 3656
28.4 IPS
 
Style Transfer (F32)
100% 9927
13.1 IPS
 
Style Transfer (F16)
100% 11784
15.5 IPS
 
Style Transfer (I8)
100% 11754
15.5 IPS
 
Image Super-Resolution (F32)
100% 2414
86.2 IPS
 
Image Super-Resolution (F16)
100% 2562
91.5 IPS
 
Image Super-Resolution (I8)
100% 2569
91.7 IPS
 
Text Classification (F32)
100% 985
1.42 KIPS
 
Text Classification (F16)
100% 476
683.5 IPS
 
Text Classification (I8)
96% 643
924.2 IPS
 
Machine Translation (F32)
100% 1365
25.1 IPS
 
Machine Translation (F16)
99% 1784
32.8 IPS
 
Machine Translation (I8)
99% 1351
24.9 IPS
 

Compare

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