Geekbench ML Score

386
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date September 02 2024 04:48 PM
Views 1

System Information

System Information
Operating System iOS 16.7.10
Model iPhone 8
Model IDiPhone10,1
Motherboard D20AP
CPU Information
Name Apple A11 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.39 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 1.93 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 232
43.4 IPS
 
Image Classification (F16)
100% 213
39.8 IPS
 
Image Classification (I8)
99% 210
39.2 IPS
 
Image Segmentation (F32)
100% 195
3.26 IPS
 
Image Segmentation (F16)
100% 195
3.26 IPS
 
Image Segmentation (I8)
100% 176
2.94 IPS
 
Pose Estimation (F32)
100% 912
1.10 IPS
 
Pose Estimation (F16)
100% 872
1.06 IPS
 
Pose Estimation (I8)
100% 875
1.06 IPS
 
Object Detection (F32)
100% 190
14.2 IPS
 
Object Detection (F16)
100% 215
16.1 IPS
 
Object Detection (I8)
97% 237
17.7 IPS
 
Face Detection (F32)
100% 446
5.31 IPS
 
Face Detection (F16)
100% 439
5.21 IPS
 
Face Detection (I8)
99% 438
5.21 IPS
 
Depth Estimation (F32)
100% 568
4.40 IPS
 
Depth Estimation (F16)
100% 520
4.03 IPS
 
Depth Estimation (I8)
99% 525
4.07 IPS
 
Style Transfer (F32)
100% 1466
1.93 IPS
 
Style Transfer (F16)
100% 1403
1.85 IPS
 
Style Transfer (I8)
100% 1399
1.84 IPS
 
Image Super-Resolution (F32)
100% 423
15.1 IPS
 
Image Super-Resolution (F16)
100% 509
18.2 IPS
 
Image Super-Resolution (I8)
100% 510
18.2 IPS
 
Text Classification (F32)
100% 207
297.8 IPS
 
Text Classification (F16)
100% 215
308.3 IPS
 
Text Classification (I8)
96% 216
311.0 IPS
 
Machine Translation (F32)
100% 315
5.79 IPS
 
Machine Translation (F16)
100% 236
4.35 IPS
 
Machine Translation (I8)
99% 287
5.29 IPS
 

Compare

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