iPhone XR
Geekbench AI Score
454
Single Precision Score
2016
Half Precision Score
336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | January 25 2025 08:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
269
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
184
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
23125
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
742
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
591
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
18783
144.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
401
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1498
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1553
2.00 IPS |
|
|
Style Transfer (Q)
|
96% |
1264
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
447
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.7 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.4 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.2 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (Q)
|
98% |
271
4.68 IPS |
