iPhone 11 Pro
Geekbench ML Score
725
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 04:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
543
58.1 IPS |
|
|
Image Classification (F16)
|
100% |
532
57.0 IPS |
|
|
Image Classification (I8)
|
81% |
286
30.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
5.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
863
5.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
1108
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
281
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
341
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
806
28.3 IPS |
|
|
Object Detection (F16)
|
100% |
808
28.3 IPS |
|
|
Object Detection (I8)
|
52% |
613
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
1017
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
998
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
724
8.32 IPS |
|
|
Text Classification (F32)
|
100% |
1728
683.4 IPS |
|
|
Text Classification (F16)
|
100% |
1724
681.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1187
182.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1186
182.8 IPS |
