Geekbench ML Score

9512
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:28 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPad16,5
Model IDiPad16,5
Motherboard J720AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 4.41 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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4198
785.6 IPS
 
Image Classification (F16)
100% 8198
1.53 KIPS
 
Image Classification (I8)
99% 8980
1.68 KIPS
 
Image Segmentation (F32)
100% 1949
32.5 IPS
 
Image Segmentation (F16)
100% 2393
40.0 IPS
 
Image Segmentation (I8)
100% 2296
38.3 IPS
 
Pose Estimation (F32)
100% 27079
32.8 IPS
 
Pose Estimation (F16)
100% 100015
121.1 IPS
 
Pose Estimation (I8)
100% 101554
123.0 IPS
 
Object Detection (F32)
100% 3648
272.4 IPS
 
Object Detection (F16)
100% 6057
452.2 IPS
 
Object Detection (I8)
97% 3351
250.2 IPS
 
Face Detection (F32)
100% 11325
134.7 IPS
 
Face Detection (F16)
97% 13744
163.4 IPS
 
Face Detection (I8)
96% 14686
174.6 IPS
 
Depth Estimation (F32)
100% 19782
153.4 IPS
 
Depth Estimation (F16)
100% 49265
382.0 IPS
 
Depth Estimation (I8)
37% 47689
369.8 IPS
 
Style Transfer (F32)
100% 55153
72.5 IPS
 
Style Transfer (F16)
100% 154328
203.0 IPS
 
Style Transfer (I8)
100% 151330
199.1 IPS
 
Image Super-Resolution (F32)
100% 9539
340.7 IPS
 
Image Super-Resolution (F16)
100% 21809
778.9 IPS
 
Image Super-Resolution (I8)
100% 21804
778.7 IPS
 
Text Classification (F32)
100% 1521
2.19 KIPS
 
Text Classification (F16)
100% 1735
2.49 KIPS
 
Text Classification (I8)
96% 1070
1.54 KIPS
 
Machine Translation (F32)
100% 1155
21.2 IPS
 
Machine Translation (F16)
100% 1795
33.0 IPS
 
Machine Translation (I8)
99% 911
16.8 IPS
 

Compare

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