iPhone 16
Geekbench AI Score
4501
Single Precision Score
7488
Half Precision Score
6012
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 3dworks |
| Upload Date | September 17 2025 09:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3265
607.1 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3200
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17311
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14769
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7871
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9460
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20465
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37049
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30232
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6282
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3961
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6200
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6272
108.4 IPS |
