iPhone 11
Geekbench ML Score
706
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:01 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
552
59.2 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.8 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
5.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
858
5.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1113
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
165
0.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
288
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
781
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
778
27.3 IPS |
|
|
Object Detection (I8)
|
52% |
618
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
897
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
940
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
710
8.16 IPS |
|
|
Text Classification (F32)
|
100% |
2001
791.5 IPS |
|
|
Text Classification (F16)
|
100% |
2000
790.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1195
184.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1204
185.6 IPS |
