iPhone XR
Geekbench AI Score
339
Single Precision Score
1768
Half Precision Score
233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 02:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (Q)
|
99% |
130
24.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
123
1.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
18169
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
503
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (Q)
|
94% |
151
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
4905
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
68
0.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
17198
132.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
250
1.96 IPS |
|
|
Style Transfer (SP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1009
1.30 IPS |
|
|
Style Transfer (Q)
|
96% |
964
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
245
327.1 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.5 IPS |
|
|
Text Classification (Q)
|
93% |
278
372.9 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.84 IPS |
