iPhone XR
Geekbench AI Score
503
Single Precision Score
839
Half Precision Score
754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 08 2025 07:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (Q)
|
96% |
433
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
505
8.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
807
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
99% |
521
41.3 IPS |
|
|
Object Detection (Q)
|
92% |
442
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (Q)
|
100% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
1304
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1081
8.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1626
2.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3039
3.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2942
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
591
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.6 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.4 IPS |
|
|
Text Classification (Q)
|
93% |
555
744.6 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.85 IPS |
|
|
Machine Translation (HP)
|
98% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
789
13.6 IPS |
