iPhone XR
Geekbench AI Score
433
Single Precision Score
1980
Half Precision Score
320
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
265
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
168
2.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
21272
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
669
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (Q)
|
94% |
182
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
5257
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
18569
143.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
368
2.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1450
1.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1211
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.8 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.0 IPS |
|
|
Text Classification (Q)
|
93% |
280
375.8 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
98% |
279
4.83 IPS |
