iPhone XR
Geekbench AI Score
596
Single Precision Score
1000
Half Precision Score
913
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 08:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
96% |
546
101.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
717
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
998
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
92% |
540
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.00 IPS |
|
|
Face Detection (HP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (Q)
|
100% |
1172
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
800
6.17 IPS |
|
|
Depth Estimation (HP)
|
98% |
1443
11.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1333
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1968
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (Q)
|
96% |
3204
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
693
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.7 IPS |
|
|
Text Classification (HP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (Q)
|
93% |
561
753.6 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
98% |
930
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
