iPhone XR
Geekbench AI Score
596
Single Precision Score
997
Half Precision Score
875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 08:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
529
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
926
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (HP)
|
99% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
92% |
530
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (HP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (Q)
|
100% |
1054
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.91 IPS |
|
|
Depth Estimation (HP)
|
98% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1188
9.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1921
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3276
4.21 IPS |
|
|
Style Transfer (Q)
|
96% |
2935
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
701
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.7 IPS |
|
|
Text Classification (HP)
|
100% |
562
750.2 IPS |
|
|
Text Classification (Q)
|
93% |
560
751.4 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.79 IPS |
|
|
Machine Translation (HP)
|
98% |
947
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
944
16.3 IPS |
