iPhone XR
Geekbench AI Score
644
Single Precision Score
1073
Half Precision Score
944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
741
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1170
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1048
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
703
55.7 IPS |
|
|
Object Detection (Q)
|
92% |
600
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (Q)
|
100% |
1024
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
98% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1407
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2262
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3841
4.94 IPS |
|
|
Style Transfer (Q)
|
96% |
3653
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
713
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.1 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.5 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.6 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
