iPhone XR
Geekbench AI Score
341
Single Precision Score
1570
Half Precision Score
261
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
191
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
1648
306.4 IPS |
|
|
Image Classification (Q)
|
99% |
124
23.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
145
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14978
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
584
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
94% |
145
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (HP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
165
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
13679
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
291
2.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1203
1.55 IPS |
|
|
Style Transfer (Q)
|
96% |
1057
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.0 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.7 IPS |
|
|
Text Classification (Q)
|
93% |
221
296.3 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.20 IPS |
