iPhone XR
Geekbench AI Score
631
Single Precision Score
1055
Half Precision Score
935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 03:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1175
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1019
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
99% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
92% |
562
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1180
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
1606
12.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1375
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2125
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
3343
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
715
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.9 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.5 IPS |
|
|
Text Classification (Q)
|
93% |
556
745.7 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
98% |
989
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
