Geekbench ML Score

3505
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:50 AM
Views 1

System Information

System Information
Operating System iOS 17.5
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% 1456
272.5 IPS
 
Image Classification (F16)
100% 1860
348.1 IPS
 
Image Classification (I8)
99% 1883
352.3 IPS
 
Image Segmentation (F32)
100% 873
14.6 IPS
 
Image Segmentation (F16)
100% 863
14.4 IPS
 
Image Segmentation (I8)
100% 851
14.2 IPS
 
Pose Estimation (F32)
100% 5662
6.86 IPS
 
Pose Estimation (F16)
100% 13961
16.9 IPS
 
Pose Estimation (I8)
100% 13872
16.8 IPS
 
Object Detection (F32)
100% 1433
107.0 IPS
 
Object Detection (F16)
100% 1999
149.2 IPS
 
Object Detection (I8)
97% 1454
108.6 IPS
 
Face Detection (F32)
100% 2704
32.2 IPS
 
Face Detection (F16)
97% 4250
50.5 IPS
 
Face Detection (I8)
97% 4229
50.3 IPS
 
Depth Estimation (F32)
100% 5137
39.8 IPS
 
Depth Estimation (F16)
100% 8531
66.2 IPS
 
Depth Estimation (I8)
99% 8547
66.3 IPS
 
Style Transfer (F32)
100% 16932
22.3 IPS
 
Style Transfer (F16)
100% 26267
34.6 IPS
 
Style Transfer (I8)
100% 26183
34.4 IPS
 
Image Super-Resolution (F32)
100% 4006
143.1 IPS
 
Image Super-Resolution (F16)
100% 5241
187.2 IPS
 
Image Super-Resolution (I8)
100% 5093
181.9 IPS
 
Text Classification (F32)
100% 2384
3.43 KIPS
 
Text Classification (F16)
100% 3924
5.64 KIPS
 
Text Classification (I8)
96% 3972
5.71 KIPS
 
Machine Translation (F32)
100% 1162
21.4 IPS
 
Machine Translation (F16)
100% 1395
25.7 IPS
 
Machine Translation (I8)
99% 1076
19.8 IPS
 

Compare

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