iPhone XR
Geekbench ML Score
986
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 22 2021 09:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
807
86.5 IPS |
|
|
Image Classification (F16)
|
100% |
1058
113.3 IPS |
|
|
Image Classification (I8)
|
81% |
200
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2720
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4139
25.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
352
2.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
903
3.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2977
12.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
1461
51.3 IPS |
|
|
Object Detection (F16)
|
99% |
1484
52.1 IPS |
|
|
Object Detection (I8)
|
52% |
549
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
3050
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
5050
58.0 IPS |
|
|
Face Detection (I8)
|
75% |
427
4.90 IPS |
|
|
Text Classification (F32)
|
100% |
684
270.7 IPS |
|
|
Text Classification (F16)
|
98% |
829
327.7 IPS |
|
|
Machine Translation (F32)
|
100% |
954
147.1 IPS |
|
|
Machine Translation (F16)
|
100% |
959
147.8 IPS |
