iPhone XS
Geekbench AI Score
530
Single Precision Score
907
Half Precision Score
815
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 08:44 PM |
| Views | 3 |
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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.7 IPS |
|
|
Image Classification (Q)
|
96% |
518
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
875
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
716
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
701
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
99% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
92% |
505
40.3 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
100% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
698
5.38 IPS |
|
|
Depth Estimation (HP)
|
98% |
1272
9.83 IPS |
|
|
Depth Estimation (Q)
|
85% |
1135
8.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1621
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2665
3.43 IPS |
|
|
Style Transfer (Q)
|
96% |
2535
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
605
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.3 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.8 IPS |
|
|
Text Classification (Q)
|
93% |
570
764.9 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
98% |
901
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
