iPhone 16 Pro Max
Geekbench AI Score
5804
Single Precision Score
7018
Half Precision Score
6536
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2793
519.5 IPS |
|
|
Image Classification (HP)
|
100% |
3205
596.1 IPS |
|
|
Image Classification (Q)
|
96% |
3168
591.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4537
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4491
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14626
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16775
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16336
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
3079
244.3 IPS |
|
|
Object Detection (HP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (Q)
|
92% |
3025
241.4 IPS |
|
|
Face Detection (SP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
10168
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
7824
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12514
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15249
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13192
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28771
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38889
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38333
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7395
273.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6797
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1173
20.3 IPS |
