iPhone XS
Geekbench AI Score
559
Single Precision Score
963
Half Precision Score
845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 14 2025 04:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
801
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (HP)
|
99% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
92% |
543
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1116
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
728
5.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1182
9.24 IPS |
|
|
Style Transfer (SP)
|
100% |
1778
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2890
3.72 IPS |
|
|
Style Transfer (Q)
|
96% |
2823
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
534
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.8 IPS |
|
|
Text Classification (HP)
|
100% |
565
753.8 IPS |
|
|
Text Classification (Q)
|
93% |
564
757.0 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
98% |
947
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
