iPhone XR
Geekbench AI Score
568
Single Precision Score
922
Half Precision Score
782
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:39 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
370
68.8 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.2 IPS |
|
|
Image Classification (Q)
|
99% |
566
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
100% |
495
8.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1007
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
99% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
92% |
475
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
100% |
998
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
721
5.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
1395
10.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
580
4.48 IPS |
|
|
Style Transfer (SP)
|
100% |
1865
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3264
4.20 IPS |
|
|
Style Transfer (Q)
|
100% |
3335
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
694
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.8 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (Q)
|
93% |
548
734.9 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.76 IPS |
|
|
Machine Translation (HP)
|
98% |
855
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
