iPhone 16 Pro
Geekbench AI Score
4748
Single Precision Score
7946
Half Precision Score
6330
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 10:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.9 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9673
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7643
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14534
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10155
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21619
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38267
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31325
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7399
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5210
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5971
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7491
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7534
130.2 IPS |
