Geekbench ML Score

1927
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 01 2025 04:28 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% 945
176.8 IPS
 
Image Classification (F16)
100% 911
170.5 IPS
 
Image Classification (I8)
99% 916
171.4 IPS
 
Image Segmentation (F32)
100% 642
10.7 IPS
 
Image Segmentation (F16)
100% 583
9.73 IPS
 
Image Segmentation (I8)
100% 574
9.59 IPS
 
Pose Estimation (F32)
100% 5349
6.48 IPS
 
Pose Estimation (F16)
100% 9572
11.6 IPS
 
Pose Estimation (I8)
100% 9597
11.6 IPS
 
Object Detection (F32)
100% 962
71.8 IPS
 
Object Detection (F16)
100% 1052
78.5 IPS
 
Object Detection (I8)
97% 1033
77.1 IPS
 
Face Detection (F32)
100% 1754
20.9 IPS
 
Face Detection (F16)
100% 1604
19.1 IPS
 
Face Detection (I8)
99% 1617
19.2 IPS
 
Depth Estimation (F32)
100% 3294
25.5 IPS
 
Depth Estimation (F16)
99% 3643
28.2 IPS
 
Depth Estimation (I8)
99% 3654
28.3 IPS
 
Style Transfer (F32)
100% 9904
13.0 IPS
 
Style Transfer (F16)
100% 11796
15.5 IPS
 
Style Transfer (I8)
100% 11761
15.5 IPS
 
Image Super-Resolution (F32)
100% 2416
86.3 IPS
 
Image Super-Resolution (F16)
100% 2548
91.0 IPS
 
Image Super-Resolution (I8)
100% 2549
91.0 IPS
 
Text Classification (F32)
100% 971
1.40 KIPS
 
Text Classification (F16)
100% 463
666.1 IPS
 
Text Classification (I8)
96% 649
932.9 IPS
 
Machine Translation (F32)
100% 1355
24.9 IPS
 
Machine Translation (F16)
99% 1790
32.9 IPS
 
Machine Translation (I8)
99% 1347
24.8 IPS
 

Compare

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