iPhone XR
Geekbench ML Score
1418
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 07 2024 12:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4133
442.8 IPS |
|
|
Image Classification (F16)
|
100% |
4124
441.8 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1422
8.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
703
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
6832
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6951
28.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
94% |
4347
152.6 IPS |
|
|
Object Detection (F16)
|
94% |
4417
155.0 IPS |
|
|
Object Detection (I8)
|
52% |
557
19.5 IPS |
|
|
Face Detection (F32)
|
67% |
4133
47.5 IPS |
|
|
Face Detection (F16)
|
67% |
4116
47.3 IPS |
|
|
Face Detection (I8)
|
75% |
508
5.84 IPS |
|
|
Text Classification (F32)
|
100% |
393
155.3 IPS |
|
|
Text Classification (F16)
|
100% |
396
156.6 IPS |
|
|
Machine Translation (F32)
|
100% |
929
143.2 IPS |
|
|
Machine Translation (F16)
|
100% |
935
144.0 IPS |
