iPhone XS
Geekbench ML Score
560
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 11:38 AM |
| 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% |
472
50.6 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.9 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
748
4.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
4.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
931
5.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
204
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
693
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
659
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
521
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
800
9.20 IPS |
|
|
Face Detection (F16)
|
100% |
794
9.12 IPS |
|
|
Face Detection (I8)
|
75% |
588
6.75 IPS |
|
|
Text Classification (F32)
|
100% |
759
300.2 IPS |
|
|
Text Classification (F16)
|
100% |
769
304.3 IPS |
|
|
Machine Translation (F32)
|
100% |
982
151.3 IPS |
|
|
Machine Translation (F16)
|
100% |
980
151.1 IPS |
