iPhone XR
Geekbench AI Score
633
Single Precision Score
746
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 14 2025 06:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
251
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1305
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1766
2.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
675
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
92% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1687
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2305
17.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4268
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4672
6.01 IPS |
|
|
Style Transfer (Q)
|
96% |
1452
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
285
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.3 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.4 IPS |
|
|
Text Classification (Q)
|
93% |
192
257.7 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
98% |
154
2.66 IPS |
