iPhone XR
Geekbench AI Score
393
Single Precision Score
1809
Half Precision Score
286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jeedo1 |
| Upload Date | May 14 2025 04:52 PM |
| Views | 7 |
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% |
264
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
173
2.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15804
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
525
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (Q)
|
94% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (HP)
|
100% |
4963
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
186
2.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
17371
133.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
307
2.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1213
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1209
1.55 IPS |
|
|
Style Transfer (Q)
|
96% |
1001
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
397
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3202
118.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.4 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.2 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
98% |
249
4.30 IPS |
