iPhone XR
Geekbench AI Score
571
Single Precision Score
909
Half Precision Score
852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.6 IPS |
|
|
Image Classification (Q)
|
96% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
604
9.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1144
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1024
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
99% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
92% |
472
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
100% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
98% |
1400
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1290
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1903
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3369
4.33 IPS |
|
|
Style Transfer (Q)
|
96% |
3293
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
674
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.0 IPS |
|
|
Text Classification (HP)
|
100% |
565
753.9 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.8 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
98% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
