iPhone XR
Geekbench AI Score
535
Single Precision Score
919
Half Precision Score
819
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 29 2024 06:18 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
96% |
442
82.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
981
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
902
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
792
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
99% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
92% |
508
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
100% |
1093
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
748
5.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
1268
9.80 IPS |
|
|
Depth Estimation (Q)
|
85% |
1154
9.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1554
2.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2641
3.40 IPS |
|
|
Style Transfer (Q)
|
96% |
2739
3.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
669
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.5 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.9 IPS |
|
|
Text Classification (Q)
|
93% |
539
723.8 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
98% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
853
14.7 IPS |
