iPhone 16 Pro
Geekbench AI Score
4410
Single Precision Score
7656
Half Precision Score
6093
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
17383
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14915
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7430
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7580
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14066
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9692
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21742
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36615
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30004
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5809
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5786
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6992
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6997
120.9 IPS |
