iPhone 16 Pro Max
Geekbench AI Score
4530
Single Precision Score
7779
Half Precision Score
6188
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 05:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8976
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18440
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7480
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7792
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14335
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9889
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23815
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37399
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30851
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6953
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6996
120.9 IPS |
