iPhone XR
Geekbench AI Score
605
Single Precision Score
1030
Half Precision Score
915
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
337
62.6 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
96% |
525
97.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
998
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
92% |
548
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
825
9.80 IPS |
|
|
Face Detection (HP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
1182
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
853
6.57 IPS |
|
|
Depth Estimation (HP)
|
98% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1291
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2072
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3609
4.64 IPS |
|
|
Style Transfer (Q)
|
96% |
3204
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
725
26.8 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.5 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.0 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.7 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
98% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
978
16.9 IPS |
