iPhone 16 Pro
Geekbench AI Score
4659
Single Precision Score
7883
Half Precision Score
6285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 10:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9435
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18539
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15727
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4210
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14511
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9942
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20508
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37948
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31032
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5493
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7328
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5229
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7465
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
