iPhone 16
Geekbench AI Score
4507
Single Precision Score
7549
Half Precision Score
6062
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | icemc |
| Upload Date | January 23 2026 10:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
3275
609.1 IPS |
|
|
Image Classification (Q)
|
96% |
2242
418.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9040
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18270
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15287
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3977
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13689
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9618
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20708
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37407
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30170
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7004
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6253
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6455
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6352
109.8 IPS |
