iPhone 11 Pro Max
Geekbench ML Score
1792
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 02:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4483
480.4 IPS |
|
|
Image Classification (F16)
|
100% |
4509
483.1 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1495
9.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1491
9.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8700
35.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8580
34.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5018
176.1 IPS |
|
|
Object Detection (F16)
|
94% |
5038
176.8 IPS |
|
|
Object Detection (I8)
|
52% |
632
22.2 IPS |
|
|
Face Detection (F32)
|
67% |
5777
66.4 IPS |
|
|
Face Detection (F16)
|
67% |
5844
67.1 IPS |
|
|
Face Detection (I8)
|
75% |
632
7.26 IPS |
|
|
Text Classification (F32)
|
100% |
834
329.9 IPS |
|
|
Text Classification (F16)
|
100% |
844
333.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
183.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1183
182.3 IPS |
