iPhone 16 Pro Max
Geekbench AI Score
4428
Single Precision Score
7639
Half Precision Score
6060
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 17 2025 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2249
420.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8470
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17506
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14960
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7530
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13892
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9502
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23383
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36727
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30055
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6854
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4765
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6961
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
