iPhone XR
Geekbench AI Score
592
Single Precision Score
619
Half Precision Score
262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ote-sonic |
| Upload Date | September 27 2024 09:59 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
96% |
120
22.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1294
1.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
669
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
92% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (Q)
|
100% |
186
2.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1624
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1555
12.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
398
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
3919
5.04 IPS |
|
|
Style Transfer (HP)
|
100% |
2932
3.77 IPS |
|
|
Style Transfer (Q)
|
96% |
1467
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
145
194.0 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.7 IPS |
|
|
Text Classification (Q)
|
93% |
199
266.7 IPS |
|
|
Machine Translation (SP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
98% |
137
2.36 IPS |
