iPhone XR
Geekbench AI Score
445
Single Precision Score
1998
Half Precision Score
331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:41 PM |
| Views | 1 |
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% |
265
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
1970
366.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
22901
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
700
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (HP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
223
2.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
18267
140.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
394
3.07 IPS |
|
|
Style Transfer (SP)
|
100% |
1506
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1486
1.91 IPS |
|
|
Style Transfer (Q)
|
96% |
1224
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
440
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
270
361.0 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.4 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
98% |
282
4.88 IPS |
