iPhone XS
Geekbench AI Score
667
Single Precision Score
1113
Half Precision Score
990
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 04:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
381
70.8 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.6 IPS |
|
|
Image Classification (Q)
|
96% |
554
103.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1045
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
99% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
92% |
613
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (Q)
|
100% |
1232
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.44 IPS |
|
|
Depth Estimation (HP)
|
98% |
1705
13.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1463
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2327
2.99 IPS |
|
|
Style Transfer (HP)
|
100% |
4029
5.18 IPS |
|
|
Style Transfer (Q)
|
96% |
3789
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
787
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.6 IPS |
|
|
Text Classification (HP)
|
100% |
566
756.1 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.1 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1076
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
