Geekbench ML Score

4607
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 16 2024 02:37 AM
Views 2

System Information

System Information
Operating System iOS 17.5
Model iPad16,3
Model IDiPad16,3
Motherboard J717AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 4.42 GHz
Cluster 14 Cores
Cluster 26 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 15.13 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1800
336.9 IPS
 
Image Classification (F16)
100% 2440
456.6 IPS
 
Image Classification (I8)
99% 2453
459.0 IPS
 
Image Segmentation (F32)
100% 1190
19.9 IPS
 
Image Segmentation (F16)
100% 1153
19.3 IPS
 
Image Segmentation (I8)
100% 1172
19.6 IPS
 
Pose Estimation (F32)
100% 9352
11.3 IPS
 
Pose Estimation (F16)
100% 17237
20.9 IPS
 
Pose Estimation (I8)
100% 17869
21.6 IPS
 
Object Detection (F32)
100% 1832
136.8 IPS
 
Object Detection (F16)
100% 2606
194.6 IPS
 
Object Detection (I8)
97% 1832
136.8 IPS
 
Face Detection (F32)
100% 3465
41.2 IPS
 
Face Detection (F16)
97% 5565
66.2 IPS
 
Face Detection (I8)
97% 5326
63.3 IPS
 
Depth Estimation (F32)
100% 7314
56.7 IPS
 
Depth Estimation (F16)
100% 10890
84.5 IPS
 
Depth Estimation (I8)
99% 10859
84.2 IPS
 
Style Transfer (F32)
100% 22474
29.6 IPS
 
Style Transfer (F16)
100% 33387
43.9 IPS
 
Style Transfer (I8)
100% 34044
44.8 IPS
 
Image Super-Resolution (F32)
100% 5864
209.4 IPS
 
Image Super-Resolution (F16)
100% 6918
247.1 IPS
 
Image Super-Resolution (I8)
100% 6897
246.3 IPS
 
Text Classification (F32)
100% 2835
4.07 KIPS
 
Text Classification (F16)
100% 4620
6.64 KIPS
 
Text Classification (I8)
96% 4612
6.63 KIPS
 
Machine Translation (F32)
100% 1605
29.5 IPS
 
Machine Translation (F16)
100% 1854
34.1 IPS
 
Machine Translation (I8)
99% 1614
29.7 IPS
 

Compare

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