iPhone XR
Geekbench AI Score
390
Single Precision Score
1992
Half Precision Score
291
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | brianl831 |
| Upload Date | January 31 2026 11:18 PM |
| Views | 12 |
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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
21954
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (Q)
|
94% |
172
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
5240
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
165
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
19815
152.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
273
2.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1203
1.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1239
1.59 IPS |
|
|
Style Transfer (Q)
|
96% |
1122
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
429
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.3 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.7 IPS |
|
|
Text Classification (Q)
|
93% |
307
411.9 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
98% |
266
4.59 IPS |
