iPhone 16 Pro Max
Geekbench AI Score
4504
Single Precision Score
5327
Half Precision Score
4934
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 20 2025 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (Q)
|
96% |
786
146.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4644
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14828
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16807
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16495
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (Q)
|
92% |
1414
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
9962
118.4 IPS |
|
|
Face Detection (Q)
|
100% |
7946
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12522
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14857
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13295
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30265
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38241
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38011
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4216
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
6255
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6292
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1132
19.6 IPS |
