iPhone 12 Pro Max
Geekbench ML Score
2467
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 10:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1071
200.4 IPS |
|
|
Image Classification (F16)
|
100% |
1443
270.1 IPS |
|
|
Image Classification (I8)
|
99% |
1444
270.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
476
7.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
480
8.01 IPS |
|
|
Image Segmentation (I8)
|
100% |
481
8.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
4367
5.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
9764
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
9790
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
1070
79.9 IPS |
|
|
Object Detection (F16)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (I8)
|
97% |
983
73.4 IPS |
|
|
Face Detection (F32)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (F16)
|
97% |
3096
36.8 IPS |
|
|
Face Detection (I8)
|
97% |
3142
37.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4048
31.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6841
53.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
6767
52.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11776
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
19960
26.3 IPS |
|
|
Style Transfer (I8)
|
100% |
19872
26.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2717
97.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4251
151.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4306
153.8 IPS |
|
|
Text Classification (F32)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3066
4.41 KIPS |
|
|
Text Classification (I8)
|
96% |
3060
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
634
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
616
11.3 IPS |
