iPhone 15 Plus
Geekbench AI Score
1621
Single Precision Score
2709
Half Precision Score
2175
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 12:15 PM |
| Views | 10 |
| Notes | Low Power Mode 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (Q)
|
96% |
751
140.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1167
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
5552
6.51 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
97% |
1268
101.0 IPS |
|
|
Object Detection (Q)
|
94% |
904
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (Q)
|
100% |
1508
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2698
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5326
41.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3646
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8004
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12321
15.8 IPS |
|
|
Style Transfer (Q)
|
96% |
10355
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1643
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2121
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2901
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2722
47.0 IPS |
