iPhone XR
Geekbench AI Score
356
Single Precision Score
632
Half Precision Score
568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
633
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
92% |
436
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
100% |
928
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
612
4.72 IPS |
|
|
Depth Estimation (HP)
|
98% |
1099
8.50 IPS |
|
|
Depth Estimation (Q)
|
85% |
954
7.46 IPS |
|
|
Style Transfer (SP)
|
100% |
1404
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2315
2.98 IPS |
|
|
Style Transfer (Q)
|
96% |
2267
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
605
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
587
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.6 IPS |
|
|
Text Classification (HP)
|
100% |
544
726.8 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.4 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.35 IPS |
|
|
Machine Translation (HP)
|
98% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
749
12.9 IPS |
