iPhone XR
Geekbench AI Score
540
Single Precision Score
878
Half Precision Score
748
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 15 2024 10:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
555
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (Q)
|
100% |
474
7.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
99% |
557
44.1 IPS |
|
|
Object Detection (Q)
|
92% |
470
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (Q)
|
100% |
972
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
654
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1149
8.88 IPS |
|
|
Depth Estimation (Q)
|
97% |
547
4.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3108
4.00 IPS |
|
|
Style Transfer (Q)
|
100% |
3193
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.9 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.9 IPS |
|
|
Text Classification (Q)
|
93% |
555
744.8 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
98% |
850
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
855
14.8 IPS |
