iPhone 11 Pro
Geekbench ML Score
333
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 05:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
210
22.5 IPS |
|
|
Image Classification (F16)
|
100% |
212
22.7 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
2.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
388
2.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
541
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
335
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
348
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
363
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
406
4.66 IPS |
|
|
Face Detection (F16)
|
100% |
407
4.67 IPS |
|
|
Face Detection (I8)
|
75% |
341
3.92 IPS |
|
|
Text Classification (F32)
|
100% |
1085
429.3 IPS |
|
|
Text Classification (F16)
|
100% |
1092
432.0 IPS |
|
|
Machine Translation (F32)
|
100% |
656
101.2 IPS |
|
|
Machine Translation (F16)
|
100% |
662
102.1 IPS |
