iPhone XR
Geekbench AI Score
504
Single Precision Score
899
Half Precision Score
764
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | June 17 2025 01:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
96% |
501
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
675
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
918
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
967
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
866
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (HP)
|
99% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
92% |
443
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
100% |
1062
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
676
5.21 IPS |
|
|
Depth Estimation (HP)
|
98% |
1174
9.07 IPS |
|
|
Depth Estimation (Q)
|
85% |
1027
8.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1475
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2548
3.28 IPS |
|
|
Style Transfer (Q)
|
96% |
2307
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
504
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.2 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.4 IPS |
|
|
Text Classification (Q)
|
93% |
550
738.5 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
98% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
