iPhone 11 Pro Max
Geekbench ML Score
714
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 03:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
515
55.2 IPS |
|
|
Image Classification (I8)
|
81% |
313
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
5.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
5.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1094
6.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
319
1.29 IPS |
|
|
Object Detection (F32)
|
100% |
776
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
820
28.8 IPS |
|
|
Object Detection (I8)
|
52% |
603
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
955
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
959
11.0 IPS |
|
|
Face Detection (I8)
|
75% |
719
8.26 IPS |
|
|
Text Classification (F32)
|
100% |
1730
684.4 IPS |
|
|
Text Classification (F16)
|
100% |
1684
666.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1205
185.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
185.4 IPS |
