iPhone XR
Geekbench AI Score
446
Single Precision Score
1966
Half Precision Score
320
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
184
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
22405
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
718
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
94% |
190
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
5239
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
18960
146.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
347
2.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1363
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1413
1.82 IPS |
|
|
Style Transfer (Q)
|
96% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3443
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.0 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.9 IPS |
|
|
Text Classification (Q)
|
93% |
290
388.7 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
98% |
236
4.08 IPS |
