iPhone XR
Geekbench AI Score
622
Single Precision Score
1055
Half Precision Score
945
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 08 2025 01:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.1 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1151
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1087
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
99% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
92% |
552
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1190
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
1588
12.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1369
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2092
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (Q)
|
96% |
3613
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
705
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.5 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.1 IPS |
|
|
Text Classification (Q)
|
93% |
564
756.5 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (HP)
|
98% |
948
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
