iPhone 11 Pro Max
Geekbench ML Score
1458
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2962
317.4 IPS |
|
|
Image Classification (F16)
|
100% |
3048
326.6 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1565
9.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1565
9.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8520
34.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8847
35.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
1900
66.7 IPS |
|
|
Object Detection (F16)
|
94% |
1902
66.7 IPS |
|
|
Object Detection (I8)
|
52% |
530
18.6 IPS |
|
|
Face Detection (F32)
|
67% |
3966
45.6 IPS |
|
|
Face Detection (F16)
|
67% |
4036
46.4 IPS |
|
|
Face Detection (I8)
|
75% |
636
7.31 IPS |
|
|
Text Classification (F32)
|
100% |
693
274.1 IPS |
|
|
Text Classification (F16)
|
100% |
674
266.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1218
187.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1212
186.9 IPS |
