Geekbench ML Score

4709
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 10 2024 01:35 PM
Views 4

System Information

System Information
Operating System iOS 17.5
Model iPad16,4
Model IDiPad16,4
Motherboard J718AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 4.40 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% 1912
357.8 IPS
 
Image Classification (F16)
100% 2593
485.3 IPS
 
Image Classification (I8)
99% 2572
481.3 IPS
 
Image Segmentation (F32)
100% 1191
19.9 IPS
 
Image Segmentation (F16)
100% 1179
19.7 IPS
 
Image Segmentation (I8)
100% 1185
19.8 IPS
 
Pose Estimation (F32)
100% 9483
11.5 IPS
 
Pose Estimation (F16)
100% 17937
21.7 IPS
 
Pose Estimation (I8)
100% 17959
21.7 IPS
 
Object Detection (F32)
100% 1952
145.7 IPS
 
Object Detection (F16)
100% 2671
199.4 IPS
 
Object Detection (I8)
97% 1954
145.8 IPS
 
Face Detection (F32)
100% 3551
42.2 IPS
 
Face Detection (F16)
97% 5677
67.5 IPS
 
Face Detection (I8)
97% 5670
67.4 IPS
 
Depth Estimation (F32)
100% 7600
58.9 IPS
 
Depth Estimation (F16)
100% 11313
87.7 IPS
 
Depth Estimation (I8)
99% 11238
87.2 IPS
 
Style Transfer (F32)
100% 23529
31.0 IPS
 
Style Transfer (F16)
100% 34840
45.8 IPS
 
Style Transfer (I8)
100% 34909
45.9 IPS
 
Image Super-Resolution (F32)
100% 5797
207.0 IPS
 
Image Super-Resolution (F16)
100% 6815
243.4 IPS
 
Image Super-Resolution (I8)
100% 6820
243.6 IPS
 
Text Classification (F32)
100% 2700
3.88 KIPS
 
Text Classification (F16)
100% 4496
6.46 KIPS
 
Text Classification (I8)
96% 4462
6.41 KIPS
 
Machine Translation (F32)
100% 1652
30.4 IPS
 
Machine Translation (F16)
100% 1892
34.8 IPS
 
Machine Translation (I8)
99% 1623
29.9 IPS
 

Compare

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