iPhone 16 Pro Max
Geekbench AI Score
4481
Single Precision Score
7597
Half Precision Score
6106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 04:58 PM |
| Views | 2 |
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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.9 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9021
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17733
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15175
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3681
293.0 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3935
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7996
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13681
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9568
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20972
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36576
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29099
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5127
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6203
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6911
119.4 IPS |
