iPhone 16 Pro
Geekbench AI Score
4513
Single Precision Score
7620
Half Precision Score
6065
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3445
640.7 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3205
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17016
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14104
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
97% |
3610
287.4 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7825
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13320
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9260
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21084
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36200
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28661
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6136
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7714
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7533
130.2 IPS |
