iPhone XR
Geekbench AI Score
394
Single Precision Score
1988
Half Precision Score
645
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 15 2024 11:01 PM |
| Views | 9 |
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% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
100% |
394
6.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
22814
26.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
560
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (Q)
|
94% |
168
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
5238
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
184
2.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
19025
146.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
19048
147.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1329
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (Q)
|
100% |
1418
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
421
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.1 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.2 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.7 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
98% |
267
4.62 IPS |
