iPhone XR
Geekbench AI Score
566
Single Precision Score
971
Half Precision Score
867
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 12:09 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
659
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
863
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
99% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
521
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1061
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
847
6.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
1440
11.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1286
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1747
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3328
4.28 IPS |
|
|
Style Transfer (Q)
|
96% |
3348
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.4 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.8 IPS |
|
|
Text Classification (Q)
|
93% |
554
742.9 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
98% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
