iPhone XR
Geekbench AI Score
534
Single Precision Score
925
Half Precision Score
813
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
342
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (Q)
|
96% |
514
95.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
819
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
680
54.0 IPS |
|
|
Object Detection (Q)
|
92% |
495
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1110
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
711
5.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1100
8.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1622
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2821
3.63 IPS |
|
|
Style Transfer (Q)
|
96% |
2648
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
599
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.2 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.9 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.3 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
98% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
784
13.6 IPS |
