iPhone 16 Pro Max
Geekbench AI Score
4476
Single Precision Score
7518
Half Precision Score
6191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | KEN1959 |
| Upload Date | December 07 2024 01:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8876
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18096
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7429
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4187
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7563
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14099
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9793
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23637
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37450
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30853
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5326
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
