iPhone 16 Plus
Geekbench AI Score
4390
Single Precision Score
7471
Half Precision Score
5953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Brahnboots |
| Upload Date | September 14 2025 02:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3208
596.6 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3233
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8747
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17981
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15000
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3720
296.1 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6745
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7973
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14219
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18482
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36775
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30107
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5166
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6143
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5810
100.4 IPS |
