iPhone 16 Plus
Geekbench AI Score
4317
Single Precision Score
7240
Half Precision Score
5829
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3225
599.8 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3103
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8160
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16156
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13888
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3675
292.6 IPS |
|
|
Object Detection (Q)
|
94% |
2524
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6485
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7518
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12984
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8960
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19506
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32862
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28042
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6923
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6268
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6291
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6362
109.9 IPS |
