iPhone XR
Geekbench ML Score
518
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 31 2025 11:30 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
461
49.4 IPS |
|
|
Image Classification (F16)
|
100% |
444
47.6 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
741
4.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
739
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
952
5.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
121
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
214
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
651
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
653
22.9 IPS |
|
|
Object Detection (I8)
|
52% |
531
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
677
7.78 IPS |
|
|
Face Detection (F16)
|
100% |
652
7.49 IPS |
|
|
Face Detection (I8)
|
75% |
566
6.50 IPS |
|
|
Text Classification (F32)
|
100% |
775
306.5 IPS |
|
|
Text Classification (F16)
|
100% |
770
304.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1000
154.1 IPS |
|
|
Machine Translation (F16)
|
100% |
995
153.3 IPS |
