iPhone 16 Pro Max
Geekbench AI Score
4486
Single Precision Score
7602
Half Precision Score
6068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.6 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3243
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8763
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17411
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14757
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3691
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2568
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7884
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13441
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9327
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21405
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36456
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29273
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6168
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7245
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7221
124.8 IPS |
