iPhone 12 Pro Max
Geekbench ML Score
856
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
645
69.1 IPS |
|
|
Image Classification (F16)
|
100% |
603
64.6 IPS |
|
|
Image Classification (I8)
|
81% |
410
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
981
6.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1362
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
350
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
345
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
423
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
830
29.1 IPS |
|
|
Object Detection (F16)
|
100% |
835
29.3 IPS |
|
|
Object Detection (I8)
|
52% |
724
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
1052
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1031
11.8 IPS |
|
|
Face Detection (I8)
|
75% |
807
9.28 IPS |
|
|
Text Classification (F32)
|
100% |
2002
791.9 IPS |
|
|
Text Classification (F16)
|
100% |
2096
829.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1677
258.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
256.6 IPS |
