iPhone 15 Plus
Geekbench AI Score
1095
Single Precision Score
6952
Half Precision Score
7698
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 09:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (Q)
|
97% |
3193
595.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
3221
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5488
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
38302
44.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
39523
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
3717
294.8 IPS |
|
|
Object Detection (Q)
|
93% |
3955
315.6 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
5921
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
6696
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1878
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23815
183.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
26787
209.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5065
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
66974
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59458
76.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9956
367.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11361
419.5 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.8 IPS |
|
|
Text Classification (HP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2074
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
