iPhone XR
Geekbench ML Score
463
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 09:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 |
| 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% |
282
52.7 IPS |
|
|
Image Classification (F16)
|
100% |
245
45.8 IPS |
|
|
Image Classification (I8)
|
99% |
242
45.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
181
3.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
180
3.01 IPS |
|
|
Image Segmentation (I8)
|
100% |
179
2.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
998
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
978
1.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
988
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
277
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
629
7.48 IPS |
|
|
Face Detection (F16)
|
100% |
613
7.29 IPS |
|
|
Face Detection (I8)
|
99% |
602
7.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
675
5.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
658
5.10 IPS |
|
|
Depth Estimation (I8)
|
99% |
674
5.23 IPS |
|
|
Style Transfer (F32)
|
100% |
1691
2.22 IPS |
|
|
Style Transfer (F16)
|
100% |
1643
2.16 IPS |
|
|
Style Transfer (I8)
|
100% |
1782
2.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
610
21.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
605
21.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
609
21.7 IPS |
|
|
Text Classification (F32)
|
100% |
264
380.0 IPS |
|
|
Text Classification (F16)
|
100% |
309
443.6 IPS |
|
|
Text Classification (I8)
|
96% |
310
445.7 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.59 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.49 IPS |
