iPhone XR
Geekbench AI Score
447
Single Precision Score
1976
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 12:28 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
183
2.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
21270
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (Q)
|
94% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
5194
61.7 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
18061
139.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
394
3.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1465
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1449
1.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1225
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.3 IPS |
|
|
Text Classification (Q)
|
93% |
285
383.1 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
98% |
272
4.70 IPS |
