iPhone XS
Geekbench ML Score
492
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 01:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
459
49.2 IPS |
|
|
Image Classification (F16)
|
100% |
439
47.1 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
713
4.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
664
4.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
898
5.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
190
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
183
0.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
222
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
615
21.6 IPS |
|
|
Object Detection (F16)
|
100% |
596
20.9 IPS |
|
|
Object Detection (I8)
|
52% |
413
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.07 IPS |
|
|
Face Detection (F16)
|
100% |
645
7.41 IPS |
|
|
Face Detection (I8)
|
75% |
477
5.48 IPS |
|
|
Text Classification (F32)
|
100% |
564
222.9 IPS |
|
|
Text Classification (F16)
|
100% |
587
232.1 IPS |
|
|
Machine Translation (F32)
|
100% |
963
148.4 IPS |
|
|
Machine Translation (F16)
|
100% |
954
147.0 IPS |
