iPhone XR
Geekbench AI Score
547
Single Precision Score
912
Half Precision Score
825
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 04:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.2 IPS |
|
|
Image Classification (Q)
|
96% |
520
97.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
708
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
810
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
99% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
92% |
523
41.7 IPS |
|
|
Face Detection (SP)
|
100% |
795
9.44 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
100% |
1025
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.35 IPS |
|
|
Depth Estimation (HP)
|
98% |
1275
9.85 IPS |
|
|
Depth Estimation (Q)
|
85% |
1184
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1615
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2870
3.69 IPS |
|
|
Style Transfer (Q)
|
96% |
2772
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.7 IPS |
|
|
Text Classification (HP)
|
100% |
545
727.1 IPS |
|
|
Text Classification (Q)
|
93% |
536
719.5 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (HP)
|
98% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
825
14.3 IPS |
