iPhone 16
Geekbench AI Score
4458
Single Precision Score
4993
Half Precision Score
4697
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
870
161.8 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
96% |
831
155.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3841
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4115
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13019
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14530
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14163
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (Q)
|
92% |
1451
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
6587
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9202
109.3 IPS |
|
|
Face Detection (Q)
|
100% |
7116
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11304
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12066
93.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11365
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28919
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32325
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31982
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6191
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
