iPhone XS
Geekbench ML Score
393
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
312
33.4 IPS |
|
|
Image Classification (I8)
|
81% |
252
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
527
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
527
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
752
4.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
437
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
429
15.1 IPS |
|
|
Object Detection (I8)
|
52% |
332
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
527
6.06 IPS |
|
|
Face Detection (F16)
|
100% |
571
6.56 IPS |
|
|
Face Detection (I8)
|
75% |
491
5.64 IPS |
|
|
Text Classification (F32)
|
100% |
505
199.9 IPS |
|
|
Text Classification (F16)
|
100% |
506
200.0 IPS |
|
|
Machine Translation (F32)
|
100% |
687
105.9 IPS |
|
|
Machine Translation (F16)
|
100% |
675
104.1 IPS |
