iPhone XS
Geekbench AI Score
589
Single Precision Score
1009
Half Precision Score
888
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:09 PM |
| Views | 1 |
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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1056
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
99% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
92% |
596
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (Q)
|
100% |
1090
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
779
6.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
1459
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1172
9.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2923
3.76 IPS |
|
|
Style Transfer (Q)
|
96% |
2733
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
629
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.4 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (HP)
|
98% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
