iPhone 11
Geekbench ML Score
702
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 07:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
538
57.6 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
858
5.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1111
6.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
300
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
776
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
767
26.9 IPS |
|
|
Object Detection (I8)
|
52% |
593
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
920
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
940
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
709
8.15 IPS |
|
|
Text Classification (F32)
|
100% |
1706
674.8 IPS |
|
|
Text Classification (F16)
|
100% |
1677
663.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1175
181.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
183.5 IPS |
