iPhone 16
Geekbench AI Score
4287
Single Precision Score
7386
Half Precision Score
5835
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 08:52 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3226
599.9 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3199
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8415
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17253
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14640
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2520
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7625
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13716
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9273
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18019
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35963
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29201
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7136
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6061
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5928
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5826
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5778
99.8 IPS |
