iPhone XR
Geekbench AI Score
553
Single Precision Score
941
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 08 2025 11:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
355
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (Q)
|
96% |
519
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
933
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
870
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
92% |
521
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
1028
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
718
5.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
1298
10.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1155
9.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1791
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3038
3.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2913
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
698
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.5 IPS |
|
|
Text Classification (HP)
|
100% |
561
749.4 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.0 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
98% |
860
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
