Geekbench ML Score

4684
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 08 2024 05:13 PM
Views 16

System Information

System Information
Operating System iOS 17.5
Model iPad16,6
Model IDiPad16,6
Motherboard J721AP
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 15.05 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1883
352.3 IPS
 
Image Classification (F16)
100% 2548
476.8 IPS
 
Image Classification (I8)
99% 2544
476.1 IPS
 
Image Segmentation (F32)
100% 1199
20.0 IPS
 
Image Segmentation (F16)
100% 1185
19.8 IPS
 
Image Segmentation (I8)
100% 1184
19.8 IPS
 
Pose Estimation (F32)
100% 9546
11.6 IPS
 
Pose Estimation (F16)
100% 17995
21.8 IPS
 
Pose Estimation (I8)
100% 17973
21.8 IPS
 
Object Detection (F32)
100% 1914
142.9 IPS
 
Object Detection (F16)
100% 2639
197.0 IPS
 
Object Detection (I8)
97% 1916
143.0 IPS
 
Face Detection (F32)
100% 3515
41.8 IPS
 
Face Detection (F16)
97% 5592
66.5 IPS
 
Face Detection (I8)
97% 5593
66.5 IPS
 
Depth Estimation (F32)
100% 7538
58.5 IPS
 
Depth Estimation (F16)
100% 11183
86.7 IPS
 
Depth Estimation (I8)
99% 11210
86.9 IPS
 
Style Transfer (F32)
100% 23483
30.9 IPS
 
Style Transfer (F16)
100% 34727
45.7 IPS
 
Style Transfer (I8)
100% 34703
45.6 IPS
 
Image Super-Resolution (F32)
100% 5954
212.6 IPS
 
Image Super-Resolution (F16)
100% 6815
243.4 IPS
 
Image Super-Resolution (I8)
100% 6807
243.1 IPS
 
Text Classification (F32)
100% 2770
3.98 KIPS
 
Text Classification (F16)
100% 4403
6.33 KIPS
 
Text Classification (I8)
96% 4381
6.30 KIPS
 
Machine Translation (F32)
100% 1628
30.0 IPS
 
Machine Translation (F16)
100% 1869
34.4 IPS
 
Machine Translation (I8)
99% 1624
29.9 IPS
 

Compare

Set Baseline Geekbench 6 now available