iPhone XS
Geekbench ML Score
565
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 07:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
459
49.1 IPS |
|
|
Image Classification (I8)
|
81% |
269
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
970
5.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
191
0.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
672
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
672
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
520
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
801
9.20 IPS |
|
|
Face Detection (F16)
|
100% |
794
9.12 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
749
296.4 IPS |
|
|
Text Classification (F16)
|
100% |
781
308.9 IPS |
|
|
Machine Translation (F32)
|
100% |
989
152.4 IPS |
|
|
Machine Translation (F16)
|
100% |
990
152.5 IPS |
