iPhone 16 Pro
Geekbench AI Score
5762
Single Precision Score
6753
Half Precision Score
6045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | February 19 2025 01:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2998
557.5 IPS |
|
|
Image Classification (HP)
|
100% |
2726
507.0 IPS |
|
|
Image Classification (Q)
|
97% |
2837
529.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3406
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4374
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15729
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16542
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15602
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3141
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (Q)
|
91% |
2849
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10622
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
7162
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13457
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14515
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12552
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33012
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39523
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37225
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8045
297.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8394
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6804
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
886
15.3 IPS |
