iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
7662
Half Precision Score
6158
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2025 07:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8623
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17351
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14967
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3969
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13066
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9191
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19997
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36933
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30511
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5119
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6351
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6170
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7345
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7521
130.0 IPS |
