iPhone XR
Geekbench ML Score
1077
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 07 2024 12:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
612
65.6 IPS |
|
|
Image Classification (F16)
|
100% |
941
100.8 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2744
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4407
27.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
712
4.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
1172
4.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3444
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1518
53.3 IPS |
|
|
Object Detection (F16)
|
99% |
1510
53.0 IPS |
|
|
Object Detection (I8)
|
52% |
553
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
3021
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5103
58.6 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
600
237.3 IPS |
|
|
Text Classification (F16)
|
98% |
766
303.0 IPS |
|
|
Machine Translation (F32)
|
100% |
945
145.7 IPS |
|
|
Machine Translation (F16)
|
100% |
943
145.4 IPS |
