iPhone 11
Geekbench ML Score
321
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
198
21.2 IPS |
|
|
Image Classification (I8)
|
81% |
186
19.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
375
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
509
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
122
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
338
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
322
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
322
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
365
4.19 IPS |
|
|
Face Detection (F16)
|
100% |
382
4.39 IPS |
|
|
Face Detection (I8)
|
75% |
315
3.62 IPS |
|
|
Text Classification (F32)
|
100% |
1014
401.0 IPS |
|
|
Text Classification (F16)
|
100% |
1363
539.1 IPS |
|
|
Machine Translation (F32)
|
100% |
660
101.7 IPS |
|
|
Machine Translation (F16)
|
100% |
661
101.9 IPS |
