Geekbench ML Score

1706
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:22 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPad (9th generation)
Model IDiPad12,1
Motherboard J181AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 2.87 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 278
52.0 IPS
 
Image Classification (F16)
100% 2675
500.6 IPS
 
Image Classification (I8)
99% 2637
493.5 IPS
 
Image Segmentation (F32)
100% 219
3.66 IPS
 
Image Segmentation (F16)
100% 331
5.53 IPS
 
Image Segmentation (I8)
100% 331
5.53 IPS
 
Pose Estimation (F32)
100% 2259
2.74 IPS
 
Pose Estimation (F16)
100% 25695
31.1 IPS
 
Pose Estimation (I8)
100% 25622
31.0 IPS
 
Object Detection (F32)
100% 402
30.0 IPS
 
Object Detection (F16)
100% 1095
81.8 IPS
 
Object Detection (I8)
97% 497
37.1 IPS
 
Face Detection (F32)
100% 2380
28.3 IPS
 
Face Detection (F16)
98% 4890
58.1 IPS
 
Face Detection (I8)
97% 5124
60.9 IPS
 
Depth Estimation (F32)
100% 2472
19.2 IPS
 
Depth Estimation (F16)
100% 20586
159.6 IPS
 
Depth Estimation (I8)
99% 21597
167.5 IPS
 
Style Transfer (F32)
100% 5887
7.74 IPS
 
Style Transfer (F16)
100% 18071
23.8 IPS
 
Style Transfer (I8)
100% 18298
24.1 IPS
 
Image Super-Resolution (F32)
100% 1036
37.0 IPS
 
Image Super-Resolution (F16)
100% 4803
171.5 IPS
 
Image Super-Resolution (I8)
100% 5082
181.5 IPS
 
Text Classification (F32)
100% 231
331.7 IPS
 
Text Classification (F16)
100% 295
424.1 IPS
 
Text Classification (I8)
96% 296
425.9 IPS
 
Machine Translation (F32)
100% 208
3.82 IPS
 
Machine Translation (F16)
100% 203
3.74 IPS
 
Machine Translation (I8)
99% 218
4.01 IPS
 

Compare

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