iPhone XR
Geekbench AI Score
625
Single Precision Score
712
Half Precision Score
406
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 05:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
100% |
249
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
725
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.6 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
2007
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
100% |
247
2.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1572
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2648
3.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3586
4.61 IPS |
|
|
Style Transfer (Q)
|
100% |
3841
4.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
154
204.9 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (Q)
|
93% |
207
277.8 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
98% |
187
3.23 IPS |
