iPhone 11
Geekbench ML Score
1753
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
4018
430.5 IPS |
|
|
Image Classification (F16)
|
100% |
4168
446.6 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1601
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1598
9.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8425
34.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8697
35.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5023
176.3 IPS |
|
|
Object Detection (F16)
|
94% |
5009
175.8 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
5217
59.9 IPS |
|
|
Face Detection (F16)
|
67% |
5234
60.1 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
773
305.9 IPS |
|
|
Text Classification (F16)
|
100% |
754
298.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1210
186.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1212
186.8 IPS |
