iPhone 16
Geekbench AI Score
4405
Single Precision Score
7493
Half Precision Score
6008
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 08:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
3246
603.6 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3250
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8372
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
18598
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15475
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3670
292.2 IPS |
|
|
Object Detection (Q)
|
94% |
2568
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6853
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8020
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13989
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19037
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37532
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30694
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5609
96.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5762
99.6 IPS |
