iPhone XR
Geekbench AI Score
478
Single Precision Score
2061
Half Precision Score
352
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 25 2025 04:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
270
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
24287
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
847
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
5311
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
19226
148.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
418
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1589
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1619
2.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1326
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.2 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
98% |
291
5.03 IPS |
