Geekbench ML Score

4954
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:55 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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 684
128.0 IPS
 
Image Classification (F16)
100% 5308
993.3 IPS
 
Image Classification (I8)
99% 5945
1.11 KIPS
 
Image Segmentation (F32)
100% 1353
22.6 IPS
 
Image Segmentation (F16)
100% 1843
30.8 IPS
 
Image Segmentation (I8)
100% 1951
32.6 IPS
 
Pose Estimation (F32)
100% 11209
13.6 IPS
 
Pose Estimation (F16)
100% 77332
93.6 IPS
 
Pose Estimation (I8)
100% 78660
95.3 IPS
 
Object Detection (F32)
100% 1339
99.9 IPS
 
Object Detection (F16)
100% 3856
287.9 IPS
 
Object Detection (I8)
97% 1184
88.4 IPS
 
Face Detection (F32)
100% 5115
60.8 IPS
 
Face Detection (F16)
97% 10341
123.0 IPS
 
Face Detection (I8)
96% 10252
121.9 IPS
 
Depth Estimation (F32)
100% 8726
67.7 IPS
 
Depth Estimation (F16)
100% 39161
303.7 IPS
 
Depth Estimation (I8)
37% 38153
295.9 IPS
 
Style Transfer (F32)
100% 20457
26.9 IPS
 
Style Transfer (F16)
100% 117772
154.9 IPS
 
Style Transfer (I8)
100% 120451
158.4 IPS
 
Image Super-Resolution (F32)
100% 3542
126.5 IPS
 
Image Super-Resolution (F16)
100% 16720
597.1 IPS
 
Image Super-Resolution (I8)
100% 16494
589.0 IPS
 
Text Classification (F32)
100% 354
508.5 IPS
 
Text Classification (F16)
100% 359
515.6 IPS
 
Text Classification (I8)
96% 228
327.7 IPS
 
Machine Translation (F32)
100% 495
9.10 IPS
 
Machine Translation (F16)
100% 1131
20.8 IPS
 
Machine Translation (I8)
99% 498
9.17 IPS
 

Compare

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