iPhone 16 Pro
Geekbench AI Score
4450
Single Precision Score
7691
Half Precision Score
6124
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kozek |
| Upload Date | December 05 2024 10:06 PM |
| Views | 9 |
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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8572
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17507
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14927
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7399
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4122
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7430
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13733
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9618
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23380
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36827
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29899
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6060
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7048
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7026
121.4 IPS |
