iPhone XR
Geekbench AI Score
574
Single Precision Score
919
Half Precision Score
788
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 05:38 PM |
| Views | 10 |
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% |
365
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
99% |
573
106.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
100% |
474
7.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1045
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
99% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
92% |
490
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
100% |
999
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1416
10.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
602
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3605
4.63 IPS |
|
|
Style Transfer (Q)
|
100% |
3379
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
381.1 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.0 IPS |
|
|
Text Classification (Q)
|
93% |
556
745.8 IPS |
|
|
Machine Translation (SP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (HP)
|
98% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
843
14.6 IPS |
