iPhone 12 Pro Max
Geekbench ML Score
2550
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 06:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5913
633.5 IPS |
|
|
Image Classification (F16)
|
100% |
5877
629.7 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1852
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1886
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1170
7.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
18310
74.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18141
73.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
7228
253.7 IPS |
|
|
Object Detection (F16)
|
100% |
7050
247.4 IPS |
|
|
Object Detection (I8)
|
52% |
920
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
7433
85.4 IPS |
|
|
Face Detection (F16)
|
100% |
7367
84.6 IPS |
|
|
Face Detection (I8)
|
75% |
899
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1093
432.3 IPS |
|
|
Text Classification (F16)
|
100% |
1088
430.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1688
260.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1688
260.2 IPS |
