iPhone 16 Pro Max
Geekbench AI Score
5691
Single Precision Score
6793
Half Precision Score
6011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | March 10 2025 11:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2574
478.7 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
97% |
2766
516.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4390
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4363
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15658
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16521
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15686
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3404
270.0 IPS |
|
|
Object Detection (Q)
|
91% |
2793
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
7866
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
10694
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7128
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13522
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14338
110.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12327
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33110
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39531
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35688
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8446
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6794
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5935
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
