iPhone XS
Geekbench AI Score
650
Single Precision Score
1094
Half Precision Score
961
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1028
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
99% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
92% |
574
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
1219
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1413
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2358
3.03 IPS |
|
|
Style Transfer (HP)
|
100% |
4084
5.25 IPS |
|
|
Style Transfer (Q)
|
96% |
3616
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
743
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.1 IPS |
|
|
Text Classification (HP)
|
100% |
568
758.4 IPS |
|
|
Text Classification (Q)
|
93% |
566
760.2 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1064
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
