iPhone XS
Geekbench AI Score
541
Single Precision Score
892
Half Precision Score
747
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 21 2024 04:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
355
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
100% |
488
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
949
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
92% |
473
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
992
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.07 IPS |
|
|
Depth Estimation (Q)
|
97% |
498
3.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2952
3.80 IPS |
|
|
Style Transfer (Q)
|
100% |
2804
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
609
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.0 IPS |
|
|
Text Classification (HP)
|
100% |
552
736.8 IPS |
|
|
Text Classification (Q)
|
93% |
566
760.0 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
98% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
944
16.3 IPS |
