Geekbench ML Score

3341
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User Matso
Upload Date April 13 2024 09:30 AM
Views 2

System Information

System Information
Operating System iOS 17.4.1
Model iPad Pro (11-inch 3rd generation)
Model IDiPad13,4
Motherboard J517AP
CPU Information
Name Apple M1
Topology 1 Processor, 8 Cores
Identifier ARM
Base Frequency 3.19 GHz
Cluster 14 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 7.33 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1248
233.6 IPS
 
Image Classification (F16)
100% 1183
221.3 IPS
 
Image Classification (I8)
99% 1229
230.0 IPS
 
Image Segmentation (F32)
100% 833
13.9 IPS
 
Image Segmentation (F16)
100% 904
15.1 IPS
 
Image Segmentation (I8)
100% 836
14.0 IPS
 
Pose Estimation (F32)
100% 16528
20.0 IPS
 
Pose Estimation (F16)
100% 17910
21.7 IPS
 
Pose Estimation (I8)
100% 17662
21.4 IPS
 
Object Detection (F32)
100% 1480
110.5 IPS
 
Object Detection (F16)
100% 1517
113.3 IPS
 
Object Detection (I8)
97% 1528
114.0 IPS
 
Face Detection (F32)
100% 5886
70.0 IPS
 
Face Detection (F16)
98% 7248
86.2 IPS
 
Face Detection (I8)
97% 7223
85.9 IPS
 
Depth Estimation (F32)
100% 12146
94.2 IPS
 
Depth Estimation (F16)
100% 13603
105.5 IPS
 
Depth Estimation (I8)
37% 12652
98.1 IPS
 
Style Transfer (F32)
100% 26500
34.9 IPS
 
Style Transfer (F16)
100% 31076
40.9 IPS
 
Style Transfer (I8)
100% 31831
41.9 IPS
 
Image Super-Resolution (F32)
100% 5629
201.0 IPS
 
Image Super-Resolution (F16)
100% 4979
177.8 IPS
 
Image Super-Resolution (I8)
100% 5193
185.5 IPS
 
Text Classification (F32)
100% 1170
1.68 KIPS
 
Text Classification (F16)
100% 763
1.10 KIPS
 
Text Classification (I8)
96% 764
1.10 KIPS
 
Machine Translation (F32)
100% 531
9.78 IPS
 
Machine Translation (F16)
100% 538
9.90 IPS
 
Machine Translation (I8)
99% 534
9.84 IPS
 

Compare

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