Geekbench ML Score

8708
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date August 01 2024 08:34 PM
Views 3

System Information

System Information
Operating System iOS 17.5.1
Model iPad16,3
Model IDiPad16,3
Motherboard J717AP
CPU Information
Name ARM
Topology 1 Processor, 9 Cores
Identifier ARM
Base Frequency 4.41 GHz
Cluster 13 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 7.28 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4190
784.0 IPS
 
Image Classification (F16)
100% 8282
1.55 KIPS
 
Image Classification (I8)
99% 8987
1.68 KIPS
 
Image Segmentation (F32)
100% 1748
29.2 IPS
 
Image Segmentation (F16)
100% 2304
38.5 IPS
 
Image Segmentation (I8)
100% 2198
36.7 IPS
 
Pose Estimation (F32)
100% 25826
31.3 IPS
 
Pose Estimation (F16)
100% 99870
120.9 IPS
 
Pose Estimation (I8)
100% 101132
122.5 IPS
 
Object Detection (F32)
100% 2783
207.8 IPS
 
Object Detection (F16)
100% 6070
453.1 IPS
 
Object Detection (I8)
97% 2958
220.8 IPS
 
Face Detection (F32)
100% 11373
135.2 IPS
 
Face Detection (F16)
97% 13816
164.3 IPS
 
Face Detection (I8)
96% 13675
162.6 IPS
 
Depth Estimation (F32)
100% 17313
134.3 IPS
 
Depth Estimation (F16)
100% 44579
345.7 IPS
 
Depth Estimation (I8)
37% 47784
370.6 IPS
 
Style Transfer (F32)
100% 52932
69.6 IPS
 
Style Transfer (F16)
100% 154430
203.1 IPS
 
Style Transfer (I8)
100% 153542
202.0 IPS
 
Image Super-Resolution (F32)
100% 7168
256.0 IPS
 
Image Super-Resolution (F16)
100% 20466
730.9 IPS
 
Image Super-Resolution (I8)
100% 20479
731.4 IPS
 
Text Classification (F32)
100% 1340
1.93 KIPS
 
Text Classification (F16)
100% 1438
2.07 KIPS
 
Text Classification (I8)
96% 980
1.41 KIPS
 
Machine Translation (F32)
100% 656
12.1 IPS
 
Machine Translation (F16)
100% 1739
32.0 IPS
 
Machine Translation (I8)
99% 681
12.5 IPS
 

Compare

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