iPhone XS
Geekbench AI Score
589
Single Precision Score
1031
Half Precision Score
892
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
808
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
99% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
92% |
523
41.7 IPS |
|
|
Face Detection (SP)
|
100% |
807
9.58 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
1119
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1254
9.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1964
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3467
4.46 IPS |
|
|
Style Transfer (Q)
|
96% |
3155
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
758
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
557
742.8 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.4 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
98% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
