iPhone XR
Geekbench ML Score
1092
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 04:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
623
66.8 IPS |
|
|
Image Classification (F16)
|
100% |
1018
109.1 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2816
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4722
29.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
731
4.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
1184
4.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3450
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
137
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
1407
49.4 IPS |
|
|
Object Detection (F16)
|
99% |
1469
51.6 IPS |
|
|
Object Detection (I8)
|
52% |
555
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
3031
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5324
61.2 IPS |
|
|
Face Detection (I8)
|
75% |
518
5.95 IPS |
|
|
Text Classification (F32)
|
100% |
598
236.4 IPS |
|
|
Text Classification (F16)
|
98% |
767
303.5 IPS |
|
|
Machine Translation (F32)
|
100% |
950
146.5 IPS |
|
|
Machine Translation (F16)
|
100% |
936
144.2 IPS |
