iPhone XR
Geekbench ML Score
355
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| 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 | 2.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
282
30.2 IPS |
|
|
Image Classification (F16)
|
100% |
274
29.4 IPS |
|
|
Image Classification (I8)
|
81% |
172
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
494
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
497
3.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
704
4.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
180
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
440
15.5 IPS |
|
|
Object Detection (F16)
|
100% |
439
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
542
6.22 IPS |
|
|
Face Detection (F16)
|
100% |
543
6.24 IPS |
|
|
Face Detection (I8)
|
75% |
434
4.98 IPS |
|
|
Text Classification (F32)
|
100% |
336
133.0 IPS |
|
|
Text Classification (F16)
|
100% |
303
120.0 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.8 IPS |
|
|
Machine Translation (F16)
|
100% |
695
107.1 IPS |
