iPhone 16 Pro
Geekbench AI Score
5784
Single Precision Score
6728
Half Precision Score
6016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urix |
| Upload Date | February 21 2025 12:54 PM |
| Views | 8 |
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% |
2942
547.1 IPS |
|
|
Image Classification (HP)
|
100% |
2756
512.6 IPS |
|
|
Image Classification (Q)
|
97% |
2912
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4393
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15844
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16520
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15622
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
3346
265.4 IPS |
|
|
Object Detection (Q)
|
91% |
3115
248.9 IPS |
|
|
Face Detection (SP)
|
100% |
7813
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
10614
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
7155
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13517
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14435
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11689
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33034
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39455
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33827
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8125
300.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8393
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6756
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
