iPhone 16
Geekbench AI Score
4434
Single Precision Score
7428
Half Precision Score
5936
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 11:26 PM |
| Views | 1 |
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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (Q)
|
96% |
2239
418.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3163
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8778
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17959
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15085
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (HP)
|
97% |
3721
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2582
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3795
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7684
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13447
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9398
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20234
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37033
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30043
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5312
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3585
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6252
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6292
108.7 IPS |
