iPhone XR
Geekbench AI Score
613
Single Precision Score
708
Half Precision Score
393
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 06:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
248
46.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
100% |
249
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1674
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3238
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4020
5.17 IPS |
|
|
Style Transfer (Q)
|
100% |
4106
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
285
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.6 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.9 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.3 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
151
2.60 IPS |
|
|
Machine Translation (Q)
|
98% |
153
2.65 IPS |
