iPhone XR
Geekbench AI Score
614
Single Precision Score
1025
Half Precision Score
903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 03:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
634
118.0 IPS |
|
|
Image Classification (Q)
|
96% |
515
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
1175
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (HP)
|
99% |
689
54.7 IPS |
|
|
Object Detection (Q)
|
92% |
572
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1133
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
954
7.35 IPS |
|
|
Depth Estimation (HP)
|
98% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1364
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2253
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3764
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
3461
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
698
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.1 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.1 IPS |
|
|
Text Classification (Q)
|
93% |
551
740.1 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
98% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.4 IPS |
