iPhone 11
Geekbench ML Score
688
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
553
59.3 IPS |
|
|
Image Classification (F16)
|
100% |
542
58.1 IPS |
|
|
Image Classification (I8)
|
81% |
328
35.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
5.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
835
5.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1100
6.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
295
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
787
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
780
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
896
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
932
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
1914
756.8 IPS |
|
|
Text Classification (F16)
|
100% |
1915
757.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1178
181.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
186.4 IPS |
