iPhone 11
Geekbench ML Score
296
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 12:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
163
17.5 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
265
1.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
288
1.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
621
3.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
76
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
116
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
332
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
356
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
308
3.54 IPS |
|
|
Face Detection (F16)
|
100% |
309
3.55 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.19 IPS |
|
|
Text Classification (F32)
|
100% |
953
376.9 IPS |
|
|
Text Classification (F16)
|
100% |
1150
454.7 IPS |
|
|
Machine Translation (F32)
|
100% |
564
86.9 IPS |
|
|
Machine Translation (F16)
|
100% |
849
130.8 IPS |
