iPhone 16 Pro
Geekbench AI Score
5745
Single Precision Score
6727
Half Precision Score
6053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sw0000 |
| Upload Date | March 11 2025 03:08 PM |
| Views | 2 |
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% |
2929
544.7 IPS |
|
|
Image Classification (HP)
|
100% |
2749
511.2 IPS |
|
|
Image Classification (Q)
|
97% |
2759
515.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4383
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4325
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15542
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15473
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3674
291.4 IPS |
|
|
Object Detection (Q)
|
91% |
2825
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10639
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7090
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13244
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14716
113.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12423
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33041
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39215
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36282
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7872
290.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8374
309.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6831
252.3 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5947
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
968
16.7 IPS |
