iPhone XR
Geekbench AI Score
621
Single Precision Score
1047
Half Precision Score
931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:31 PM |
| Views | 1 |
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% |
348
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.4 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1057
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
92% |
547
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1178
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.75 IPS |
|
|
Depth Estimation (HP)
|
98% |
1497
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1337
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2107
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3690
4.74 IPS |
|
|
Style Transfer (Q)
|
96% |
3308
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
712
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.8 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.9 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (HP)
|
98% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
