iPhone 16 Pro
Geekbench AI Score
4742
Single Precision Score
8000
Half Precision Score
6344
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:57 PM |
| Views | 2 |
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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3424
636.8 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3309
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19652
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7718
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4291
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14532
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21786
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38072
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31380
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7504
277.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5231
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6033
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7505
129.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7442
128.6 IPS |
