iPhone 16 Pro
Geekbench AI Score
4466
Single Precision Score
7725
Half Precision Score
6181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 26 2025 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
18664
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15767
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2052
162.7 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7649
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14100
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9795
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23612
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37200
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30166
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6977
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.2 IPS |
