Geekbench ML Score

9396
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 16 2024 02:40 AM
Views 1

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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4205
786.9 IPS
 
Image Classification (F16)
100% 8271
1.55 KIPS
 
Image Classification (I8)
99% 8956
1.68 KIPS
 
Image Segmentation (F32)
100% 2010
33.6 IPS
 
Image Segmentation (F16)
100% 2333
39.0 IPS
 
Image Segmentation (I8)
100% 2352
39.3 IPS
 
Pose Estimation (F32)
100% 26934
32.6 IPS
 
Pose Estimation (F16)
100% 99429
120.4 IPS
 
Pose Estimation (I8)
100% 101391
122.8 IPS
 
Object Detection (F32)
100% 3322
248.0 IPS
 
Object Detection (F16)
100% 6096
455.1 IPS
 
Object Detection (I8)
97% 3335
249.0 IPS
 
Face Detection (F32)
100% 11426
135.9 IPS
 
Face Detection (F16)
97% 13813
164.2 IPS
 
Face Detection (I8)
96% 14725
175.1 IPS
 
Depth Estimation (F32)
100% 19627
152.2 IPS
 
Depth Estimation (F16)
100% 47029
364.7 IPS
 
Depth Estimation (I8)
37% 51881
402.3 IPS
 
Style Transfer (F32)
100% 54480
71.7 IPS
 
Style Transfer (F16)
100% 156000
205.2 IPS
 
Style Transfer (I8)
100% 155201
204.2 IPS
 
Image Super-Resolution (F32)
100% 8513
304.0 IPS
 
Image Super-Resolution (F16)
100% 21269
759.6 IPS
 
Image Super-Resolution (I8)
100% 21364
763.0 IPS
 
Text Classification (F32)
100% 1414
2.03 KIPS
 
Text Classification (F16)
100% 1430
2.06 KIPS
 
Text Classification (I8)
96% 1110
1.60 KIPS
 
Machine Translation (F32)
100% 1147
21.1 IPS
 
Machine Translation (F16)
100% 1824
33.6 IPS
 
Machine Translation (I8)
99% 921
17.0 IPS
 

Compare

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