iPhone XR
Geekbench AI Score
444
Single Precision Score
1968
Half Precision Score
190
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 03:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
172
2.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
20274
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
683
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (HP)
|
100% |
5187
61.6 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
608
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
18251
140.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
397
3.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1518
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1507
1.94 IPS |
|
|
Style Transfer (Q)
|
96% |
1230
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (Q)
|
93% |
286
383.6 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (Q)
|
98% |
280
4.83 IPS |
