iPhone 16 Pro
Geekbench AI Score
4474
Single Precision Score
7677
Half Precision Score
6107
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 18 2025 05:31 PM |
| 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8732
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17721
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15045
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7374
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7579
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13827
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9660
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23513
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36685
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30067
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5958
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7020
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
