iPhone XR
Geekbench ML Score
718
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
365
68.3 IPS |
|
|
Image Classification (F16)
|
100% |
626
117.1 IPS |
|
|
Image Classification (I8)
|
99% |
619
115.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
257
4.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
5.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
352
5.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
965
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
1106
1.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1002
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
355
26.5 IPS |
|
|
Object Detection (F16)
|
100% |
651
48.6 IPS |
|
|
Object Detection (I8)
|
97% |
350
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
802
9.54 IPS |
|
|
Face Detection (F16)
|
97% |
1576
18.7 IPS |
|
|
Face Detection (I8)
|
96% |
1600
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
931
7.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
1618
12.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
1545
12.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2254
2.96 IPS |
|
|
Style Transfer (F16)
|
100% |
4005
5.27 IPS |
|
|
Style Transfer (I8)
|
100% |
3907
5.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
655
23.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
892
31.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
889
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
255
365.9 IPS |
|
|
Text Classification (F16)
|
100% |
512
736.5 IPS |
|
|
Text Classification (I8)
|
96% |
511
734.4 IPS |
|
|
Machine Translation (F32)
|
100% |
287
5.29 IPS |
|
|
Machine Translation (F16)
|
100% |
320
5.89 IPS |
|
|
Machine Translation (I8)
|
99% |
235
4.33 IPS |
