iPhone XR
Geekbench ML Score
444
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 07 2024 12:03 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
186
19.9 IPS |
|
|
Image Classification (F16)
|
100% |
206
22.1 IPS |
|
|
Image Classification (I8)
|
81% |
163
17.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
496
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
566
3.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
816
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
248
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
669
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
667
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
510
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
736
8.45 IPS |
|
|
Face Detection (F16)
|
100% |
650
7.47 IPS |
|
|
Face Detection (I8)
|
75% |
544
6.25 IPS |
|
|
Text Classification (F32)
|
100% |
730
288.9 IPS |
|
|
Text Classification (F16)
|
100% |
765
302.5 IPS |
|
|
Machine Translation (F32)
|
100% |
966
148.9 IPS |
|
|
Machine Translation (F16)
|
100% |
964
148.5 IPS |
