iPhone XS
Geekbench AI Score
528
Single Precision Score
903
Half Precision Score
814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sokolov744 |
| Upload Date | October 11 2025 03:44 PM |
| Views | 5 |
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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
96% |
469
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
624
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
99% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
92% |
525
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1173
9.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1756
2.26 IPS |
|
|
Style Transfer (HP)
|
100% |
2954
3.80 IPS |
|
|
Style Transfer (Q)
|
96% |
2923
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
639
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.0 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.2 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
98% |
873
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
