iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
7670
Half Precision Score
6133
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 09:53 PM |
| Views | 13 |
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 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8807
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18008
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15270
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7323
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4136
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13829
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9652
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23672
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37395
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30348
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6951
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
