iPhone 16 Pro Max
Geekbench AI Score
4682
Single Precision Score
7887
Half Precision Score
6257
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 11:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9678
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19268
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15118
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7525
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10013
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21059
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38141
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31232
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7416
273.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7339
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7387
127.7 IPS |
