iPhone 11
Geekbench ML Score
1753
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 08:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
4148
444.4 IPS |
|
|
Image Classification (F16)
|
100% |
4235
453.7 IPS |
|
|
Image Classification (I8)
|
81% |
447
47.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1604
9.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
1588
9.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
812
5.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
8637
34.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
8517
34.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5231
183.6 IPS |
|
|
Object Detection (F16)
|
94% |
5125
179.8 IPS |
|
|
Object Detection (I8)
|
52% |
625
21.9 IPS |
|
|
Face Detection (F32)
|
67% |
5329
61.2 IPS |
|
|
Face Detection (F16)
|
67% |
5325
61.2 IPS |
|
|
Face Detection (I8)
|
75% |
629
7.22 IPS |
|
|
Text Classification (F32)
|
100% |
729
288.3 IPS |
|
|
Text Classification (F16)
|
100% |
760
300.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1192
183.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
183.4 IPS |
