iPhone XS
Geekbench ML Score
570
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 10:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
460
49.3 IPS |
|
|
Image Classification (F16)
|
100% |
442
47.3 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
4.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
750
4.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
953
5.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
226
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
263
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
666
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
670
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
542
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
860
9.88 IPS |
|
|
Face Detection (F16)
|
100% |
791
9.08 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
777
307.1 IPS |
|
|
Text Classification (F16)
|
100% |
764
302.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1000
154.1 IPS |
|
|
Machine Translation (F16)
|
100% |
995
153.3 IPS |
