iPhone 16 Pro
Geekbench AI Score
4519
Single Precision Score
7751
Half Precision Score
6157
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nuc |
| Upload Date | December 05 2024 09:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.1 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8823
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18121
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15084
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7521
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7662
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14088
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9588
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23621
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37514
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30347
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6928
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6013
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7110
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7140
123.4 IPS |
