Geekbench ML Score

9234
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 07 2024 10:14 PM
Views 3143

System Information

System Information
Operating System iOS 18.0
Model iPad16,3
Model IDiPad16,3
Motherboard J717AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 3.93 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 15.14 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3950
739.2 IPS
 
Image Classification (F16)
100% 7424
1.39 KIPS
 
Image Classification (I8)
99% 8973
1.68 KIPS
 
Image Segmentation (F32)
100% 1896
31.7 IPS
 
Image Segmentation (F16)
100% 2204
36.8 IPS
 
Image Segmentation (I8)
100% 2165
36.2 IPS
 
Pose Estimation (F32)
100% 26843
32.5 IPS
 
Pose Estimation (F16)
100% 97350
117.9 IPS
 
Pose Estimation (I8)
100% 100269
121.4 IPS
 
Object Detection (F32)
100% 3542
264.4 IPS
 
Object Detection (F16)
100% 5063
378.0 IPS
 
Object Detection (I8)
97% 3257
243.2 IPS
 
Face Detection (F32)
100% 10892
129.5 IPS
 
Face Detection (F16)
97% 15419
183.3 IPS
 
Face Detection (I8)
96% 15578
185.2 IPS
 
Depth Estimation (F32)
100% 19719
152.9 IPS
 
Depth Estimation (F16)
100% 40667
315.4 IPS
 
Depth Estimation (I8)
37% 39675
307.7 IPS
 
Style Transfer (F32)
100% 54891
72.2 IPS
 
Style Transfer (F16)
100% 122997
161.8 IPS
 
Style Transfer (I8)
100% 119723
157.5 IPS
 
Image Super-Resolution (F32)
100% 9097
324.9 IPS
 
Image Super-Resolution (F16)
100% 21271
759.7 IPS
 
Image Super-Resolution (I8)
100% 20973
749.0 IPS
 
Text Classification (F32)
100% 1489
2.14 KIPS
 
Text Classification (F16)
100% 3574
5.14 KIPS
 
Text Classification (I8)
96% 884
1.27 KIPS
 
Machine Translation (F32)
100% 1033
19.0 IPS
 
Machine Translation (F16)
100% 2193
40.4 IPS
 
Machine Translation (I8)
99% 864
15.9 IPS
 

Compare

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