iPhone XR
Geekbench AI Score
589
Single Precision Score
988
Half Precision Score
877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 25 2025 03:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
96% |
547
102.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
934
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
92% |
523
41.7 IPS |
|
|
Face Detection (SP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
1122
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
742
5.72 IPS |
|
|
Depth Estimation (HP)
|
98% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1212
9.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1849
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3280
4.22 IPS |
|
|
Style Transfer (Q)
|
96% |
3173
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
660
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.8 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
93% |
561
752.5 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (HP)
|
98% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
843
14.6 IPS |
