Geekbench ML Score

2654
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User Matso
Upload Date April 13 2024 09:23 AM
Views 2

System Information

System Information
Operating System iOS 17.4.1
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 5.47 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1189
222.5 IPS
 
Image Classification (F16)
100% 1078
201.8 IPS
 
Image Classification (I8)
99% 1172
219.4 IPS
 
Image Segmentation (F32)
100% 1172
19.6 IPS
 
Image Segmentation (F16)
100% 1236
20.6 IPS
 
Image Segmentation (I8)
100% 1224
20.4 IPS
 
Pose Estimation (F32)
100% 10746
13.0 IPS
 
Pose Estimation (F16)
100% 11939
14.5 IPS
 
Pose Estimation (I8)
100% 11895
14.4 IPS
 
Object Detection (F32)
100% 1323
98.8 IPS
 
Object Detection (F16)
100% 1366
101.9 IPS
 
Object Detection (I8)
97% 1420
106.0 IPS
 
Face Detection (F32)
100% 4260
50.7 IPS
 
Face Detection (F16)
98% 5418
64.4 IPS
 
Face Detection (I8)
97% 5317
63.2 IPS
 
Depth Estimation (F32)
100% 8657
67.1 IPS
 
Depth Estimation (F16)
100% 9425
73.1 IPS
 
Depth Estimation (I8)
37% 8684
67.3 IPS
 
Style Transfer (F32)
100% 18536
24.4 IPS
 
Style Transfer (F16)
100% 22713
29.9 IPS
 
Style Transfer (I8)
100% 23191
30.5 IPS
 
Image Super-Resolution (F32)
100% 4830
172.5 IPS
 
Image Super-Resolution (F16)
100% 4563
162.9 IPS
 
Image Super-Resolution (I8)
100% 3990
142.5 IPS
 
Text Classification (F32)
100% 370
531.2 IPS
 
Text Classification (F16)
100% 364
523.0 IPS
 
Text Classification (I8)
96% 243
349.9 IPS
 
Machine Translation (F32)
100% 569
10.5 IPS
 
Machine Translation (F16)
100% 638
11.7 IPS
 
Machine Translation (I8)
99% 568
10.5 IPS
 

Compare

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