iPhone XS
Geekbench ML Score
1114
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
628
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
1105
118.4 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3061
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4788
29.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
1207
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3450
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1361
47.8 IPS |
|
|
Object Detection (F16)
|
99% |
1530
53.7 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
3191
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5035
57.8 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.30 IPS |
|
|
Text Classification (F32)
|
100% |
651
257.4 IPS |
|
|
Text Classification (F16)
|
98% |
798
315.5 IPS |
|
|
Machine Translation (F32)
|
100% |
852
131.4 IPS |
|
|
Machine Translation (F16)
|
100% |
963
148.5 IPS |
