iPhone XS
Geekbench AI Score
603
Single Precision Score
1022
Half Precision Score
904
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | August 02 2025 07:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
732
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1132
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
850
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (HP)
|
99% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
92% |
516
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (Q)
|
100% |
1150
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
748
5.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
1419
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1259
9.84 IPS |
|
|
Style Transfer (SP)
|
100% |
1995
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3517
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
3442
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
863
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
727
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.3 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.8 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.0 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
