iPhone XS
Geekbench AI Score
647
Single Precision Score
1087
Half Precision Score
965
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 03:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.6 |
| 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% |
348
64.7 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (Q)
|
96% |
527
98.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1038
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
99% |
747
59.2 IPS |
|
|
Object Detection (Q)
|
92% |
613
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
100% |
1226
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
955
7.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1705
13.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1424
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2298
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
4010
5.15 IPS |
|
|
Style Transfer (Q)
|
96% |
3754
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
797
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.5 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.4 IPS |
|
|
Text Classification (Q)
|
93% |
534
716.6 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1040
18.0 IPS |
