iPhone XR
Geekbench AI Score
541
Single Precision Score
968
Half Precision Score
848
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 01:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
326
60.5 IPS |
|
|
Image Classification (HP)
|
100% |
634
118.0 IPS |
|
|
Image Classification (Q)
|
96% |
516
96.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
729
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
887
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
99% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
92% |
519
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
1041
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.02 IPS |
|
|
Depth Estimation (HP)
|
98% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1244
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1796
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3066
3.94 IPS |
|
|
Style Transfer (Q)
|
96% |
2953
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
589
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.4 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.0 IPS |
|
|
Text Classification (Q)
|
93% |
555
745.4 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
98% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
