iPhone 12 Pro Max
Geekbench ML Score
1590
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| User | kameit00 |
| Upload Date | May 11 2021 12:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4809
515.3 IPS |
|
|
Image Classification (F16)
|
100% |
4878
522.7 IPS |
|
|
Image Classification (I8)
|
81% |
605
64.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1819
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1777
11.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1054
6.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
9946
40.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9767
39.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
96
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
1463
51.4 IPS |
|
|
Object Detection (F16)
|
100% |
1286
45.1 IPS |
|
|
Object Detection (I8)
|
52% |
528
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
4944
56.8 IPS |
|
|
Face Detection (F16)
|
100% |
4109
47.2 IPS |
|
|
Face Detection (I8)
|
75% |
384
4.41 IPS |
|
|
Text Classification (F32)
|
100% |
740
292.8 IPS |
|
|
Text Classification (F16)
|
100% |
932
368.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1672
257.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
258.3 IPS |
