iPhone XR
Geekbench ML Score
1115
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 07:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
639
68.4 IPS |
|
|
Image Classification (F16)
|
100% |
1041
111.6 IPS |
|
|
Image Classification (I8)
|
81% |
401
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3086
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4804
29.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
736
4.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1209
4.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
3448
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
1347
47.3 IPS |
|
|
Object Detection (F16)
|
99% |
1497
52.5 IPS |
|
|
Object Detection (I8)
|
52% |
562
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
3202
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5056
58.1 IPS |
|
|
Face Detection (I8)
|
75% |
533
6.13 IPS |
|
|
Text Classification (F32)
|
100% |
647
256.0 IPS |
|
|
Text Classification (F16)
|
98% |
780
308.6 IPS |
|
|
Machine Translation (F32)
|
100% |
986
151.9 IPS |
|
|
Machine Translation (F16)
|
100% |
968
149.2 IPS |
