iPhone 16 Pro Max
Geekbench AI Score
4533
Single Precision Score
7719
Half Precision Score
6196
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 05:56 AM |
| Views | 2 |
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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9111
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18556
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15758
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4246
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7748
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14217
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9775
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23977
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37279
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30797
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6806
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6982
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
