Geekbench ML Score

3556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User Alex1974
Upload Date June 11 2024 07:33 PM
Views 4

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 15
Model IDiPhone15,4
Motherboard D37AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 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 5.53 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1449
271.2 IPS
 
Image Classification (F16)
100% 1868
349.5 IPS
 
Image Classification (I8)
99% 1876
351.1 IPS
 
Image Segmentation (F32)
100% 883
14.7 IPS
 
Image Segmentation (F16)
100% 872
14.6 IPS
 
Image Segmentation (I8)
100% 871
14.6 IPS
 
Pose Estimation (F32)
100% 5925
7.18 IPS
 
Pose Estimation (F16)
100% 14432
17.5 IPS
 
Pose Estimation (I8)
100% 14138
17.1 IPS
 
Object Detection (F32)
100% 1464
109.3 IPS
 
Object Detection (F16)
100% 1997
149.1 IPS
 
Object Detection (I8)
97% 1451
108.4 IPS
 
Face Detection (F32)
100% 2769
32.9 IPS
 
Face Detection (F16)
97% 4338
51.6 IPS
 
Face Detection (I8)
97% 4353
51.8 IPS
 
Depth Estimation (F32)
100% 5308
41.2 IPS
 
Depth Estimation (F16)
100% 8828
68.5 IPS
 
Depth Estimation (I8)
99% 8801
68.3 IPS
 
Style Transfer (F32)
100% 17270
22.7 IPS
 
Style Transfer (F16)
100% 26472
34.8 IPS
 
Style Transfer (I8)
100% 26382
34.7 IPS
 
Image Super-Resolution (F32)
100% 4021
143.6 IPS
 
Image Super-Resolution (F16)
100% 5034
179.8 IPS
 
Image Super-Resolution (I8)
100% 5106
182.3 IPS
 
Text Classification (F32)
100% 2379
3.42 KIPS
 
Text Classification (F16)
100% 3981
5.72 KIPS
 
Text Classification (I8)
96% 3959
5.69 KIPS
 
Machine Translation (F32)
100% 1190
21.9 IPS
 
Machine Translation (F16)
100% 1437
26.4 IPS
 
Machine Translation (I8)
99% 1127
20.7 IPS
 

Compare

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