iPhone XR
Geekbench ML Score
512
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2025 06:44 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
454
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
437
46.9 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
739
4.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
714
4.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
657
4.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
222
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
658
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
658
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
517
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
707
8.12 IPS |
|
|
Face Detection (F16)
|
100% |
698
8.02 IPS |
|
|
Face Detection (I8)
|
75% |
539
6.19 IPS |
|
|
Text Classification (F32)
|
100% |
782
309.2 IPS |
|
|
Text Classification (F16)
|
100% |
755
298.7 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
983
151.4 IPS |
