iPhone 16 Pro Max
Geekbench AI Score
4439
Single Precision Score
7653
Half Precision Score
6111
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreicr1 |
| Upload Date | May 02 2025 08:25 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8485
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17340
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14919
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7392
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7510
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14005
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9678
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23593
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36650
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30154
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6981
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
