iPhone XR
Geekbench ML Score
1279
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 31 2025 11:58 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3242
347.3 IPS |
|
|
Image Classification (F16)
|
100% |
3000
321.4 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1351
8.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
8.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
747
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
7347
29.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8346
33.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3973
139.4 IPS |
|
|
Object Detection (F16)
|
94% |
3926
137.8 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
67% |
3369
38.7 IPS |
|
|
Face Detection (F16)
|
67% |
3338
38.4 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.31 IPS |
|
|
Text Classification (F32)
|
100% |
180
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
240
94.7 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
995
153.4 IPS |
