iPhone XR
Geekbench AI Score
493
Single Precision Score
858
Half Precision Score
740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 07:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
341
63.5 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
862
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
751
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
99% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
92% |
432
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
100% |
1005
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
594
4.57 IPS |
|
|
Depth Estimation (HP)
|
98% |
1189
9.19 IPS |
|
|
Depth Estimation (Q)
|
85% |
1088
8.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1555
2.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2664
3.43 IPS |
|
|
Style Transfer (Q)
|
96% |
2478
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
472
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.4 IPS |
|
|
Text Classification (HP)
|
100% |
541
722.3 IPS |
|
|
Text Classification (Q)
|
93% |
541
726.1 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.55 IPS |
|
|
Machine Translation (HP)
|
98% |
703
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
690
11.9 IPS |
