iPhone XR
Geekbench ML Score
569
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2023 11:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
458
49.1 IPS |
|
|
Image Classification (F16)
|
100% |
449
48.1 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
4.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
750
4.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
948
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
235
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
263
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
695
24.4 IPS |
|
|
Object Detection (F16)
|
100% |
695
24.4 IPS |
|
|
Object Detection (I8)
|
52% |
525
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
797
9.15 IPS |
|
|
Face Detection (F16)
|
100% |
805
9.25 IPS |
|
|
Face Detection (I8)
|
75% |
602
6.91 IPS |
|
|
Text Classification (F32)
|
100% |
763
301.8 IPS |
|
|
Text Classification (F16)
|
100% |
727
287.5 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.1 IPS |
|
|
Machine Translation (F16)
|
100% |
986
151.9 IPS |
