iPhone 12 Pro Max
Geekbench ML Score
1719
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 01:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
926
173.3 IPS |
|
|
Image Classification (F16)
|
100% |
883
165.3 IPS |
|
|
Image Classification (I8)
|
99% |
887
165.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
382
6.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
364
6.07 IPS |
|
|
Image Segmentation (I8)
|
100% |
363
6.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
4897
5.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
9692
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9546
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
968
72.3 IPS |
|
|
Object Detection (F16)
|
100% |
975
72.8 IPS |
|
|
Object Detection (I8)
|
97% |
969
72.4 IPS |
|
|
Face Detection (F32)
|
100% |
1706
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1559
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3333
25.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3636
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3647
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9415
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11357
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11406
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2555
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2477
88.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2481
88.6 IPS |
|
|
Text Classification (F32)
|
100% |
1053
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
694
997.9 IPS |
|
|
Text Classification (I8)
|
96% |
695
998.5 IPS |
|
|
Machine Translation (F32)
|
100% |
708
13.0 IPS |
|
|
Machine Translation (F16)
|
99% |
854
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
707
13.0 IPS |
