iPhone 11 Pro Max
Geekbench ML Score
1797
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2022 06:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4495
481.6 IPS |
|
|
Image Classification (F16)
|
100% |
4523
484.7 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1521
9.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
1491
9.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8560
34.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8649
35.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5067
177.8 IPS |
|
|
Object Detection (F16)
|
94% |
5146
180.6 IPS |
|
|
Object Detection (I8)
|
52% |
635
22.3 IPS |
|
|
Face Detection (F32)
|
67% |
5750
66.1 IPS |
|
|
Face Detection (F16)
|
67% |
5781
66.4 IPS |
|
|
Face Detection (I8)
|
75% |
636
7.31 IPS |
|
|
Text Classification (F32)
|
100% |
834
329.7 IPS |
|
|
Text Classification (F16)
|
100% |
843
333.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1195
184.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1197
184.4 IPS |
