iPhone 16 Pro
Geekbench AI Score
4450
Single Precision Score
7653
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8515
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17488
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14752
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7421
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13939
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9670
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23154
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36708
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29997
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6980
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7019
121.3 IPS |
