iPhone XR
Geekbench AI Score
599
Single Precision Score
1007
Half Precision Score
877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 06:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
357
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
96% |
494
92.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
960
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
857
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
92% |
545
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1107
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
1505
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1273
9.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2069
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3431
4.41 IPS |
|
|
Style Transfer (Q)
|
96% |
3437
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
664
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.6 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.5 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.6 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.91 IPS |
|
|
Machine Translation (HP)
|
98% |
970
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.9 IPS |
