iPhone XR
Geekbench ML Score
517
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 09:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
229
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
383
71.6 IPS |
|
|
Image Classification (I8)
|
99% |
367
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
3.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
245
4.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
244
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
708
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
784
0.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
794
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
244
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
397
29.6 IPS |
|
|
Object Detection (I8)
|
97% |
237
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
593
7.05 IPS |
|
|
Face Detection (F16)
|
97% |
1028
12.2 IPS |
|
|
Face Detection (I8)
|
96% |
1026
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
587
4.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
1039
8.06 IPS |
|
|
Depth Estimation (I8)
|
99% |
1090
8.45 IPS |
|
|
Style Transfer (F32)
|
100% |
1593
2.10 IPS |
|
|
Style Transfer (F16)
|
100% |
2651
3.49 IPS |
|
|
Style Transfer (I8)
|
100% |
2760
3.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
485
17.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
684
24.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
678
24.2 IPS |
|
|
Text Classification (F32)
|
100% |
182
261.8 IPS |
|
|
Text Classification (F16)
|
100% |
358
514.6 IPS |
|
|
Text Classification (I8)
|
96% |
359
515.6 IPS |
|
|
Machine Translation (F32)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (F16)
|
100% |
390
7.19 IPS |
|
|
Machine Translation (I8)
|
99% |
273
5.02 IPS |
