iPhone 16 Pro Max
Geekbench AI Score
4583
Single Precision Score
7727
Half Precision Score
6180
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 11:12 AM |
| Views | 8 |
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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
3483
647.7 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9203
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18160
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15271
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3726
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6899
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13486
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9567
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22182
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37790
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29724
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5086
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6323
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7232
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
