iPhone XR
Geekbench AI Score
623
Single Precision Score
729
Half Precision Score
409
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 15 2024 10:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
99% |
249
46.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
100% |
246
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
92% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1686
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
2060
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3460
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4253
5.47 IPS |
|
|
Style Transfer (Q)
|
100% |
4358
5.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
282
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.3 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (Q)
|
93% |
205
274.8 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.81 IPS |
