iPhone XR
Geekbench AI Score
548
Single Precision Score
950
Half Precision Score
821
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 10:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
361
67.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (Q)
|
96% |
510
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
675
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
964
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
971
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
879
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
99% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
511
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (Q)
|
100% |
1031
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.30 IPS |
|
|
Depth Estimation (HP)
|
98% |
1425
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1106
8.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1704
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3087
3.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2786
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
606
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.9 IPS |
|
|
Text Classification (HP)
|
100% |
543
725.3 IPS |
|
|
Text Classification (Q)
|
93% |
543
729.1 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
98% |
854
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
