iPhone XS
Geekbench AI Score
517
Single Precision Score
841
Half Precision Score
701
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 20 2024 02:48 PM |
| Views | 9 |
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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
548
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (Q)
|
100% |
479
7.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
760
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
99% |
563
44.6 IPS |
|
|
Object Detection (Q)
|
92% |
467
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (HP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (Q)
|
100% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
491
3.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2697
3.47 IPS |
|
|
Style Transfer (Q)
|
100% |
2799
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
598
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.9 IPS |
|
|
Text Classification (HP)
|
100% |
546
729.2 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.1 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
98% |
780
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
