Geekbench ML Score

2709
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 23 2024 12:27 AM
Views 1

System Information

System Information
Operating System iOS 17.3.1
Model iPhone 14 Pro Max
Model IDiPhone15,3
Motherboard D74AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 GHz
Cluster 12 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 5.49 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1217
227.7 IPS
 
Image Classification (F16)
100% 1179
220.7 IPS
 
Image Classification (I8)
99% 1297
242.7 IPS
 
Image Segmentation (F32)
100% 1141
19.1 IPS
 
Image Segmentation (F16)
100% 1197
20.0 IPS
 
Image Segmentation (I8)
100% 1191
19.9 IPS
 
Pose Estimation (F32)
100% 11150
13.5 IPS
 
Pose Estimation (F16)
100% 12034
14.6 IPS
 
Pose Estimation (I8)
100% 11939
14.5 IPS
 
Object Detection (F32)
100% 1418
105.9 IPS
 
Object Detection (F16)
100% 1370
102.3 IPS
 
Object Detection (I8)
97% 1416
105.7 IPS
 
Face Detection (F32)
100% 5174
61.5 IPS
 
Face Detection (F16)
97% 5490
65.3 IPS
 
Face Detection (I8)
96% 5470
65.0 IPS
 
Depth Estimation (F32)
100% 8653
67.1 IPS
 
Depth Estimation (F16)
100% 9409
73.0 IPS
 
Depth Estimation (I8)
37% 8583
66.6 IPS
 
Style Transfer (F32)
100% 20101
26.4 IPS
 
Style Transfer (F16)
100% 22365
29.4 IPS
 
Style Transfer (I8)
100% 23309
30.7 IPS
 
Image Super-Resolution (F32)
100% 4186
149.5 IPS
 
Image Super-Resolution (F16)
100% 4544
162.3 IPS
 
Image Super-Resolution (I8)
100% 4262
152.2 IPS
 
Text Classification (F32)
100% 374
537.4 IPS
 
Text Classification (F16)
100% 380
545.6 IPS
 
Text Classification (I8)
96% 256
367.7 IPS
 
Machine Translation (F32)
100% 590
10.9 IPS
 
Machine Translation (F16)
100% 638
11.7 IPS
 
Machine Translation (I8)
99% 573
10.5 IPS
 

Compare

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