iPhone 11 Pro
Geekbench ML Score
709
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 01:25 PM |
| Views | 104 |
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% |
555
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
545
58.4 IPS |
|
|
Image Classification (I8)
|
81% |
330
35.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
890
5.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
876
5.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1124
6.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
338
1.37 IPS |
|
|
Object Detection (F32)
|
100% |
611
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
622
21.8 IPS |
|
|
Object Detection (I8)
|
52% |
507
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
993
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
716
8.23 IPS |
|
|
Text Classification (F32)
|
100% |
2000
790.9 IPS |
|
|
Text Classification (F16)
|
100% |
2000
790.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
186.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
186.4 IPS |
