iPhone 11
Geekbench ML Score
688
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 02:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4 |
| 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% |
546
58.5 IPS |
|
|
Image Classification (I8)
|
81% |
333
35.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
5.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
5.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1123
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
643
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
768
26.9 IPS |
|
|
Object Detection (I8)
|
52% |
616
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
849
9.76 IPS |
|
|
Face Detection (F16)
|
100% |
859
9.87 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.14 IPS |
|
|
Text Classification (F32)
|
100% |
1967
777.8 IPS |
|
|
Text Classification (F16)
|
100% |
1963
776.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
186.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
186.3 IPS |
