iPhone XS
Geekbench AI Score
645
Single Precision Score
1079
Half Precision Score
957
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 08:03 AM |
| Views | 2 |
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% |
354
65.8 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.8 IPS |
|
|
Image Classification (Q)
|
96% |
540
100.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1085
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
92% |
579
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1763
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1368
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2223
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
4013
5.16 IPS |
|
|
Style Transfer (Q)
|
96% |
3608
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
728
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (HP)
|
100% |
573
764.7 IPS |
|
|
Text Classification (Q)
|
93% |
568
761.7 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
98% |
1022
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.2 IPS |
