Geekbench ML Score

6919
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 16 2024 02:38 AM
Views 2

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 GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4248
794.9 IPS
 
Image Classification (F16)
100% 4528
847.3 IPS
 
Image Classification (I8)
99% 4115
770.1 IPS
 
Image Segmentation (F32)
100% 1974
33.0 IPS
 
Image Segmentation (F16)
100% 2256
37.7 IPS
 
Image Segmentation (I8)
100% 2171
36.3 IPS
 
Pose Estimation (F32)
100% 27286
33.0 IPS
 
Pose Estimation (F16)
100% 29101
35.2 IPS
 
Pose Estimation (I8)
100% 28286
34.3 IPS
 
Object Detection (F32)
100% 3701
276.3 IPS
 
Object Detection (F16)
100% 3965
296.0 IPS
 
Object Detection (I8)
97% 3486
260.2 IPS
 
Face Detection (F32)
100% 11529
137.1 IPS
 
Face Detection (F16)
98% 14327
170.4 IPS
 
Face Detection (I8)
97% 13755
163.6 IPS
 
Depth Estimation (F32)
100% 20657
160.2 IPS
 
Depth Estimation (F16)
100% 22946
177.9 IPS
 
Depth Estimation (I8)
37% 21041
163.2 IPS
 
Style Transfer (F32)
100% 57059
75.1 IPS
 
Style Transfer (F16)
100% 65563
86.2 IPS
 
Style Transfer (I8)
100% 65143
85.7 IPS
 
Image Super-Resolution (F32)
100% 9598
342.8 IPS
 
Image Super-Resolution (F16)
100% 9693
346.2 IPS
 
Image Super-Resolution (I8)
100% 9614
343.3 IPS
 
Text Classification (F32)
100% 1737
2.50 KIPS
 
Text Classification (F16)
100% 1558
2.24 KIPS
 
Text Classification (I8)
96% 1282
1.84 KIPS
 
Machine Translation (F32)
100% 1078
19.8 IPS
 
Machine Translation (F16)
100% 1093
20.1 IPS
 
Machine Translation (I8)
99% 898
16.5 IPS
 

Compare

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