Geekbench ML Score

3604
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:52 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.44 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1601
299.6 IPS
 
Image Classification (F16)
100% 1631
305.3 IPS
 
Image Classification (I8)
99% 1670
312.4 IPS
 
Image Segmentation (F32)
100% 1403
23.4 IPS
 
Image Segmentation (F16)
100% 1499
25.0 IPS
 
Image Segmentation (I8)
100% 1484
24.8 IPS
 
Pose Estimation (F32)
100% 14548
17.6 IPS
 
Pose Estimation (F16)
100% 15750
19.1 IPS
 
Pose Estimation (I8)
100% 15349
18.6 IPS
 
Object Detection (F32)
100% 1682
125.6 IPS
 
Object Detection (F16)
100% 1683
125.6 IPS
 
Object Detection (I8)
97% 1893
141.3 IPS
 
Face Detection (F32)
100% 6306
75.0 IPS
 
Face Detection (F16)
98% 7934
94.3 IPS
 
Face Detection (I8)
97% 8436
100.3 IPS
 
Depth Estimation (F32)
100% 11970
92.8 IPS
 
Depth Estimation (F16)
100% 13672
106.0 IPS
 
Depth Estimation (I8)
37% 12581
97.6 IPS
 
Style Transfer (F32)
100% 28677
37.7 IPS
 
Style Transfer (F16)
100% 36166
47.6 IPS
 
Style Transfer (I8)
100% 31552
41.5 IPS
 
Image Super-Resolution (F32)
100% 6732
240.4 IPS
 
Image Super-Resolution (F16)
100% 6658
237.8 IPS
 
Image Super-Resolution (I8)
100% 7346
262.4 IPS
 
Text Classification (F32)
100% 448
643.9 IPS
 
Text Classification (F16)
100% 478
687.1 IPS
 
Text Classification (I8)
96% 298
428.1 IPS
 
Machine Translation (F32)
100% 667
12.3 IPS
 
Machine Translation (F16)
100% 754
13.9 IPS
 
Machine Translation (I8)
99% 657
12.1 IPS
 

Compare

Set Baseline Geekbench 6 now available