iPhone 16 Plus
Geekbench AI Score
4389
Single Precision Score
7488
Half Precision Score
5971
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Lebronat50 |
| Upload Date | May 01 2025 02:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
3227
600.1 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8730
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17734
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14702
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2593
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3977
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7900
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14089
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9721
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18778
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37176
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30263
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5050
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5915
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6013
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6037
104.3 IPS |
