iPhone 16 Plus
Geekbench AI Score
4297
Single Precision Score
5000
Half Precision Score
4855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.6 IPS |
|
|
Image Classification (Q)
|
96% |
837
156.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4118
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13063
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14562
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14211
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (Q)
|
92% |
2001
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
7152
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
9204
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7150
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11249
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12002
92.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11366
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28879
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33148
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31473
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4407
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6291
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6272
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1154
20.0 IPS |
