iPhone XR
Geekbench AI Score
339
Single Precision Score
1772
Half Precision Score
159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 27 2024 10:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
159
29.5 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.3 IPS |
|
|
Image Classification (Q)
|
99% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
131
2.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
18501
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
507
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (Q)
|
94% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
448
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
15732
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
302
2.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1179
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (Q)
|
96% |
975
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.1 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.6 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.5 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.24 IPS |
