iPhone XS
Geekbench ML Score
483
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 03:47 AM |
| 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% |
461
49.4 IPS |
|
|
Image Classification (F16)
|
100% |
461
49.4 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
4.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
646
3.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
951
5.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
173
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
194
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
566
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
601
21.1 IPS |
|
|
Object Detection (I8)
|
52% |
511
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
558
6.42 IPS |
|
|
Face Detection (F16)
|
100% |
564
6.48 IPS |
|
|
Face Detection (I8)
|
75% |
496
5.70 IPS |
|
|
Text Classification (F32)
|
100% |
610
241.3 IPS |
|
|
Text Classification (F16)
|
100% |
695
274.9 IPS |
|
|
Machine Translation (F32)
|
100% |
817
125.9 IPS |
|
|
Machine Translation (F16)
|
100% |
897
138.2 IPS |
