iPhone XR
Geekbench AI Score
569
Single Precision Score
958
Half Precision Score
869
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 09:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
96% |
469
87.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
897
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
99% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
92% |
490
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
100% |
1147
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
1309
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1226
9.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1858
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3332
4.28 IPS |
|
|
Style Transfer (Q)
|
96% |
3086
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
722
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.1 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (Q)
|
93% |
560
751.4 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
98% |
866
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
910
15.7 IPS |
