iPhone 12 Pro Max
Geekbench ML Score
842
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
637
68.2 IPS |
|
|
Image Classification (F16)
|
100% |
603
64.6 IPS |
|
|
Image Classification (I8)
|
81% |
384
41.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
958
5.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
5.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
421
1.70 IPS |
|
|
Object Detection (F32)
|
100% |
891
31.3 IPS |
|
|
Object Detection (F16)
|
100% |
898
31.5 IPS |
|
|
Object Detection (I8)
|
52% |
665
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
1057
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1025
11.8 IPS |
|
|
Face Detection (I8)
|
75% |
801
9.21 IPS |
|
|
Text Classification (F32)
|
100% |
1851
732.2 IPS |
|
|
Text Classification (F16)
|
100% |
1891
747.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1680
258.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1686
259.8 IPS |
