iPhone XR
Geekbench ML Score
1118
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 05:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
617
66.1 IPS |
|
|
Image Classification (F16)
|
100% |
1041
111.5 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3101
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4782
29.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
734
4.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
1207
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3448
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
137
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
1400
49.1 IPS |
|
|
Object Detection (F16)
|
99% |
1542
54.1 IPS |
|
|
Object Detection (I8)
|
52% |
559
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
3201
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
4978
57.2 IPS |
|
|
Face Detection (I8)
|
75% |
522
5.99 IPS |
|
|
Text Classification (F32)
|
100% |
707
279.5 IPS |
|
|
Text Classification (F16)
|
98% |
872
345.0 IPS |
|
|
Machine Translation (F32)
|
100% |
928
143.0 IPS |
|
|
Machine Translation (F16)
|
100% |
922
142.2 IPS |
