iPhone 16 Plus
Geekbench AI Score
1930
Single Precision Score
3183
Half Precision Score
2517
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 07:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
857
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
96% |
878
163.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4022
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8147
9.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
6913
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1104
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
100% |
1606
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5787
44.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4098
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9415
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (Q)
|
96% |
13161
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2577
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2593
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2554
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2432
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2479
42.8 IPS |
