iPhone XR
Geekbench AI Score
328
Single Precision Score
1745
Half Precision Score
256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | November 19 2025 09:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
2204
410.0 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
104
1.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16851
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
507
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (Q)
|
94% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (HP)
|
100% |
5103
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
169
2.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
16124
124.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
286
2.24 IPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1094
1.41 IPS |
|
|
Style Transfer (Q)
|
96% |
931
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2902
107.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
326
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.3 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.5 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.4 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
98% |
238
4.12 IPS |
