iPhone XS
Geekbench AI Score
545
Single Precision Score
963
Half Precision Score
854
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 17 2026 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.5 |
| 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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
96% |
450
84.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
667
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
913
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
903
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
99% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
92% |
535
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
1097
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1607
12.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1301
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1918
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3349
4.30 IPS |
|
|
Style Transfer (Q)
|
96% |
2815
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
685
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.9 IPS |
|
|
Text Classification (HP)
|
100% |
574
766.7 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.0 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (HP)
|
98% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
