iPhone XS
Geekbench AI Score
543
Single Precision Score
970
Half Precision Score
855
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 12 2025 11:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
96% |
502
93.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
741
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
776
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
99% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
92% |
542
43.3 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (HP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1097
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
723
5.57 IPS |
|
|
Depth Estimation (HP)
|
98% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1170
9.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1745
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2969
3.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2802
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
707
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.7 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.7 IPS |
|
|
Text Classification (Q)
|
93% |
571
765.7 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
98% |
977
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
927
16.0 IPS |
