iPhone XS
Geekbench AI Score
616
Single Precision Score
1039
Half Precision Score
935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2024 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
96% |
506
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
892
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
950
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
994
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
92% |
601
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1221
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
939
7.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1420
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2282
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3931
5.05 IPS |
|
|
Style Transfer (Q)
|
96% |
3732
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
647
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.2 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.7 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1023
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1124
19.4 IPS |
