iPhone XR
Geekbench AI Score
546
Single Precision Score
975
Half Precision Score
850
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 07:38 AM |
| Views | 3 |
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% |
301
56.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.6 IPS |
|
|
Image Classification (Q)
|
96% |
459
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
823
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
92% |
535
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1107
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
725
5.59 IPS |
|
|
Depth Estimation (HP)
|
98% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1161
9.07 IPS |
|
|
Style Transfer (SP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3049
3.92 IPS |
|
|
Style Transfer (Q)
|
96% |
2879
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
688
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.8 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.4 IPS |
|
|
Text Classification (Q)
|
93% |
561
753.4 IPS |
|
|
Machine Translation (SP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (HP)
|
98% |
902
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
893
15.4 IPS |
