iPhone XR
Geekbench AI Score
532
Single Precision Score
897
Half Precision Score
829
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | January 25 2025 07:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
591
9.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
736
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
867
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (HP)
|
99% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
92% |
501
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
100% |
985
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
1323
10.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1253
9.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3477
4.47 IPS |
|
|
Style Transfer (Q)
|
96% |
3244
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
666
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.4 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
93% |
555
745.2 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
98% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
