iPhone 14 Pro Max
Geekbench ML Score
2078
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 05:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
975
182.4 IPS |
|
|
Image Classification (F16)
|
100% |
968
181.1 IPS |
|
|
Image Classification (I8)
|
99% |
991
185.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
707
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
612
10.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
616
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6225
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
10278
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10245
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1129
84.3 IPS |
|
|
Object Detection (F16)
|
100% |
1096
81.8 IPS |
|
|
Object Detection (I8)
|
97% |
1121
83.7 IPS |
|
|
Face Detection (F32)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (I8)
|
99% |
1759
20.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3678
28.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3935
30.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3963
30.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10888
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12548
16.5 IPS |
|
|
Style Transfer (I8)
|
100% |
12565
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2589
92.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2775
99.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2706
96.6 IPS |
|
|
Text Classification (F32)
|
100% |
1054
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
521
749.1 IPS |
|
|
Text Classification (I8)
|
96% |
660
947.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1845
33.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1400
25.8 IPS |
