iPhone 11
Geekbench ML Score
1736
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | May 16 2022 08:51 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4231
453.3 IPS |
|
|
Image Classification (F16)
|
100% |
4045
433.4 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1613
9.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
1592
9.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
815
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
8470
34.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8659
35.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
94% |
5040
176.9 IPS |
|
|
Object Detection (F16)
|
94% |
5043
177.0 IPS |
|
|
Object Detection (I8)
|
52% |
638
22.4 IPS |
|
|
Face Detection (F32)
|
67% |
5284
60.7 IPS |
|
|
Face Detection (F16)
|
67% |
5284
60.7 IPS |
|
|
Face Detection (I8)
|
75% |
618
7.10 IPS |
|
|
Text Classification (F32)
|
100% |
725
286.7 IPS |
|
|
Text Classification (F16)
|
100% |
721
285.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1188
183.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
178.9 IPS |
