iPhone XR
Geekbench AI Score
527
Single Precision Score
867
Half Precision Score
791
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
96% |
467
87.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
904
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
876
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
92% |
431
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (Q)
|
100% |
950
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
616
4.75 IPS |
|
|
Depth Estimation (HP)
|
98% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1155
9.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1679
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3172
4.08 IPS |
|
|
Style Transfer (Q)
|
96% |
3242
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
607
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.6 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.6 IPS |
|
|
Text Classification (Q)
|
93% |
528
709.2 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
98% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
