iPhone XR
Geekbench AI Score
641
Single Precision Score
1086
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 02:22 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
537
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1136
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
99% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
92% |
540
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (Q)
|
100% |
1093
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
1521
11.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1334
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2519
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4405
5.66 IPS |
|
|
Style Transfer (Q)
|
96% |
4041
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
756
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.3 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.8 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.6 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1005
17.4 IPS |
