iPhone XS
Geekbench AI Score
642
Single Precision Score
1059
Half Precision Score
952
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2024 01:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
368
68.3 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
96% |
546
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1052
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
92% |
579
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
1170
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
959
7.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1691
13.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1402
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2170
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3712
4.77 IPS |
|
|
Style Transfer (Q)
|
96% |
3644
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
735
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.8 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.4 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.9 IPS |
|
|
Machine Translation (SP)
|
100% |
569
9.79 IPS |
|
|
Machine Translation (HP)
|
98% |
971
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.6 IPS |
