Geekbench ML Score

5960
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:44 PM
Views 3

System Information

System Information
Operating System iOS 18.0
Model iPhone 15 Plus
Model IDiPhone15,5
Motherboard D38AP
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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 558
104.4 IPS
 
Image Classification (F16)
100% 5444
1.02 KIPS
 
Image Classification (I8)
99% 5900
1.10 KIPS
 
Image Segmentation (F32)
100% 1294
21.6 IPS
 
Image Segmentation (F16)
100% 1932
32.3 IPS
 
Image Segmentation (I8)
100% 1942
32.4 IPS
 
Pose Estimation (F32)
100% 11438
13.9 IPS
 
Pose Estimation (F16)
100% 82816
100.3 IPS
 
Pose Estimation (I8)
100% 72433
87.7 IPS
 
Object Detection (F32)
100% 1271
94.9 IPS
 
Object Detection (F16)
100% 3970
296.4 IPS
 
Object Detection (I8)
97% 1070
79.9 IPS
 
Face Detection (F32)
100% 4043
48.1 IPS
 
Face Detection (F16)
97% 12070
143.5 IPS
 
Face Detection (I8)
96% 11985
142.5 IPS
 
Depth Estimation (F32)
100% 8440
65.5 IPS
 
Depth Estimation (F16)
100% 33993
263.6 IPS
 
Depth Estimation (I8)
37% 40009
310.3 IPS
 
Style Transfer (F32)
100% 21506
28.3 IPS
 
Style Transfer (F16)
100% 113781
149.7 IPS
 
Style Transfer (I8)
100% 116071
152.7 IPS
 
Image Super-Resolution (F32)
100% 3631
129.7 IPS
 
Image Super-Resolution (F16)
100% 17538
626.3 IPS
 
Image Super-Resolution (I8)
100% 17100
610.7 IPS
 
Text Classification (F32)
100% 2420
3.48 KIPS
 
Text Classification (F16)
100% 3310
4.76 KIPS
 
Text Classification (I8)
96% 3521
5.06 KIPS
 
Machine Translation (F32)
100% 310
5.70 IPS
 
Machine Translation (F16)
100% 1094
20.1 IPS
 
Machine Translation (I8)
99% 283
5.22 IPS
 

Compare

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