iPhone 16 Pro Max
Geekbench AI Score
5720
Single Precision Score
6740
Half Precision Score
6053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 15 2025 03:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
3024
562.4 IPS |
|
|
Image Classification (HP)
|
100% |
2694
501.1 IPS |
|
|
Image Classification (Q)
|
97% |
2924
545.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4413
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15744
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16527
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15515
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3503
277.8 IPS |
|
|
Object Detection (Q)
|
91% |
2849
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
10639
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7119
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13378
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14404
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12583
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32959
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39551
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35525
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8035
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6893
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
897
15.5 IPS |
