iPhone XS
Geekbench ML Score
573
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 07:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 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% |
458
49.1 IPS |
|
|
Image Classification (F16)
|
100% |
457
49.0 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
967
5.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
271
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
662
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
670
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
531
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
842
9.68 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
779
308.2 IPS |
|
|
Text Classification (F16)
|
100% |
783
309.9 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.8 IPS |
