iPhone 16 Pro Max
Geekbench AI Score
4557
Single Precision Score
7686
Half Precision Score
6166
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9148
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18166
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15391
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3726
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6826
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13792
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9666
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22141
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37098
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29493
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7040
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4071
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7287
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7476
129.2 IPS |
