iPhone 16 Pro
Geekbench AI Score
4555
Single Precision Score
7770
Half Precision Score
6164
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | johnclayton |
| Upload Date | January 09 2025 11:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8881
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18227
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15104
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7461
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7674
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9764
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23934
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37255
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30622
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5645
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7078
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7061
122.0 IPS |
