iPhone XR
Geekbench AI Score
459
Single Precision Score
2013
Half Precision Score
700
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 06:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
277
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
99% |
2016
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
100% |
401
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
23171
27.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
774
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
5227
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
247
2.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
598
4.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
18595
143.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
18621
144.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1575
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1516
1.95 IPS |
|
|
Style Transfer (Q)
|
100% |
1517
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3501
129.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.2 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (Q)
|
93% |
293
392.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.72 IPS |
