iPhone 16 Pro
Geekbench AI Score
4725
Single Precision Score
7901
Half Precision Score
6325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:35 PM |
| Views | 1 |
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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9675
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18779
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15932
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7612
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4252
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14574
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21241
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38023
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31182
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7333
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5217
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7452
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7477
129.2 IPS |
