iPhone 16 Pro
Geekbench AI Score
4681
Single Precision Score
7749
Half Precision Score
6236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.9 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9317
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17284
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15417
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7202
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13450
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9515
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37577
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31047
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7431
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7714
133.3 IPS |
