iPhone XR
Geekbench ML Score
1117
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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% |
652
69.9 IPS |
|
|
Image Classification (F16)
|
100% |
1054
113.0 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3039
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4667
28.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1203
4.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
3434
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1391
48.8 IPS |
|
|
Object Detection (F16)
|
99% |
1496
52.5 IPS |
|
|
Object Detection (I8)
|
52% |
567
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
3174
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
4971
57.1 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.31 IPS |
|
|
Text Classification (F32)
|
100% |
635
251.3 IPS |
|
|
Text Classification (F16)
|
98% |
764
302.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1002
154.4 IPS |
|
|
Machine Translation (F16)
|
100% |
981
151.2 IPS |
