iPhone XR
Geekbench AI Score
639
Single Precision Score
738
Half Precision Score
286
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
677
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2141
16.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
4312
5.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4712
6.06 IPS |
|
|
Style Transfer (Q)
|
96% |
1518
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
282
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.4 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.0 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.5 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.75 IPS |
|
|
Machine Translation (Q)
|
98% |
164
2.83 IPS |
