iPhone 16 Pro
Geekbench AI Score
4541
Single Precision Score
7766
Half Precision Score
6201
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2025 08:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8937
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18249
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15477
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7672
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13852
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10019
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24356
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37452
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6814
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5975
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7219
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.8 IPS |
