iPhone 12 Pro Max
Geekbench ML Score
2391
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7 |
| 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% |
5152
552.1 IPS |
|
|
Image Classification (F16)
|
100% |
4943
529.6 IPS |
|
|
Image Classification (I8)
|
81% |
646
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1816
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1815
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1186
7.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
17768
71.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
17701
71.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6244
219.1 IPS |
|
|
Object Detection (F16)
|
100% |
6661
233.8 IPS |
|
|
Object Detection (I8)
|
52% |
919
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
6140
70.5 IPS |
|
|
Face Detection (F16)
|
100% |
6122
70.3 IPS |
|
|
Face Detection (I8)
|
75% |
900
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
960
379.6 IPS |
|
|
Text Classification (F16)
|
100% |
960
379.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1718
264.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
260.6 IPS |
