iPhone XR
Geekbench AI Score
589
Single Precision Score
1006
Half Precision Score
899
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
273
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
96% |
520
97.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1012
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
99% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
92% |
538
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1064
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
838
6.46 IPS |
|
|
Depth Estimation (HP)
|
98% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1264
9.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2063
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (Q)
|
96% |
3306
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
683
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.4 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.6 IPS |
|
|
Text Classification (Q)
|
93% |
554
742.9 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
98% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
