iPhone XS
Geekbench AI Score
632
Single Precision Score
1028
Half Precision Score
948
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 20 2024 03:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (Q)
|
96% |
483
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
729
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1187
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1005
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
99% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
92% |
599
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1218
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1464
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2232
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3982
5.12 IPS |
|
|
Style Transfer (Q)
|
96% |
3567
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
737
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.1 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.0 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1045
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
