iPhone 16 Pro Max
Geekbench AI Score
4544
Single Precision Score
7686
Half Precision Score
6149
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.5 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9345
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16640
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15136
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2596
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
4061
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8138
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14345
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9703
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19542
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36464
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29697
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7317
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7311
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7274
125.7 IPS |
