iPhone XR
Geekbench ML Score
936
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 02:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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% |
634
67.9 IPS |
|
|
Image Classification (F16)
|
100% |
1039
111.3 IPS |
|
|
Image Classification (I8)
|
81% |
273
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2913
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4714
29.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
510
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1100
4.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
2997
12.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
97
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
1104
38.7 IPS |
|
|
Object Detection (F16)
|
99% |
1373
48.2 IPS |
|
|
Object Detection (I8)
|
52% |
380
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
2880
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
4722
54.3 IPS |
|
|
Face Detection (I8)
|
75% |
377
4.33 IPS |
|
|
Text Classification (F32)
|
100% |
663
262.1 IPS |
|
|
Text Classification (F16)
|
98% |
797
315.3 IPS |
|
|
Machine Translation (F32)
|
100% |
664
102.4 IPS |
|
|
Machine Translation (F16)
|
100% |
684
105.4 IPS |
