iPhone XR
Geekbench AI Score
289
Single Precision Score
1453
Half Precision Score
191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 09:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
175
32.5 IPS |
|
|
Image Classification (HP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (Q)
|
99% |
119
22.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
117
1.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
16943
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
456
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
94% |
125
9.95 IPS |
|
|
Face Detection (SP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (HP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (Q)
|
100% |
32
0.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
9270
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
219
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
817
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (Q)
|
96% |
814
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
300
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.8 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.8 IPS |
|
|
Text Classification (Q)
|
93% |
228
305.7 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
98% |
210
3.62 IPS |
