iPhone XS
Geekbench AI Score
561
Single Precision Score
948
Half Precision Score
841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 04:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.8 IPS |
|
|
Image Classification (Q)
|
96% |
530
99.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
763
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
99% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
92% |
537
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
1097
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
700
5.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1380
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1184
9.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1710
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2943
3.78 IPS |
|
|
Style Transfer (Q)
|
96% |
2629
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
639
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (HP)
|
100% |
564
752.7 IPS |
|
|
Text Classification (Q)
|
93% |
563
756.0 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
98% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
