Geekbench ML Score

406
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 13 2025 05:59 AM
Views 7

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% 201
37.5 IPS
 
Image Classification (F16)
100% 184
34.5 IPS
 
Image Classification (I8)
99% 175
32.8 IPS
 
Image Segmentation (F32)
100% 162
2.70 IPS
 
Image Segmentation (F16)
100% 177
2.96 IPS
 
Image Segmentation (I8)
100% 184
3.07 IPS
 
Pose Estimation (F32)
100% 868
1.05 IPS
 
Pose Estimation (F16)
100% 915
1.11 IPS
 
Pose Estimation (I8)
100% 880
1.07 IPS
 
Object Detection (F32)
100% 234
17.4 IPS
 
Object Detection (F16)
100% 220
16.4 IPS
 
Object Detection (I8)
97% 232
17.3 IPS
 
Face Detection (F32)
100% 458
5.45 IPS
 
Face Detection (F16)
100% 467
5.55 IPS
 
Face Detection (I8)
99% 473
5.62 IPS
 
Depth Estimation (F32)
100% 619
4.80 IPS
 
Depth Estimation (F16)
100% 586
4.55 IPS
 
Depth Estimation (I8)
99% 583
4.52 IPS
 
Style Transfer (F32)
100% 1761
2.32 IPS
 
Style Transfer (F16)
100% 1706
2.24 IPS
 
Style Transfer (I8)
100% 1709
2.25 IPS
 
Image Super-Resolution (F32)
100% 557
19.9 IPS
 
Image Super-Resolution (F16)
100% 572
20.4 IPS
 
Image Super-Resolution (I8)
100% 565
20.2 IPS
 
Text Classification (F32)
100% 250
358.7 IPS
 
Text Classification (F16)
100% 214
307.9 IPS
 
Text Classification (I8)
96% 221
318.0 IPS
 
Machine Translation (F32)
100% 331
6.10 IPS
 
Machine Translation (F16)
100% 261
4.80 IPS
 
Machine Translation (I8)
99% 323
5.94 IPS
 

Compare

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