iPhone XR
Geekbench AI Score
556
Single Precision Score
945
Half Precision Score
849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:40 PM |
| Views | 2 |
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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
96% |
519
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
981
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
646
51.3 IPS |
|
|
Object Detection (Q)
|
92% |
538
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.71 IPS |
|
|
Face Detection (HP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
1095
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
662
5.10 IPS |
|
|
Depth Estimation (HP)
|
98% |
1382
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1170
9.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1685
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2944
3.78 IPS |
|
|
Style Transfer (Q)
|
96% |
2896
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
654
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
550
734.3 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.3 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
98% |
861
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
