iPhone XR
Geekbench AI Score
569
Single Precision Score
970
Half Precision Score
863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.8 IPS |
|
|
Image Classification (Q)
|
96% |
515
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
932
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
99% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
92% |
530
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
100% |
1148
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
747
5.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
1314
10.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1218
9.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1877
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3336
4.29 IPS |
|
|
Style Transfer (Q)
|
96% |
3033
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
608
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.9 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.7 IPS |
|
|
Text Classification (Q)
|
93% |
558
749.5 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (HP)
|
98% |
850
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
867
15.0 IPS |
