iPhone 16 Pro
Geekbench AI Score
4552
Single Precision Score
7737
Half Precision Score
6173
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:42 AM |
| Views | 17 |
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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8990
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17582
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15094
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7368
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8026
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13952
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9684
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19882
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36642
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30165
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5150
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5960
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5923
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7388
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7390
127.7 IPS |
