iPhone XR
Geekbench AI Score
630
Single Precision Score
737
Half Precision Score
280
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | January 25 2025 07:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
585
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
255
3.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
1653
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2402
18.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4212
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4511
5.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1429
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
291
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.7 IPS |
|
|
Text Classification (Q)
|
93% |
193
258.4 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.69 IPS |
