iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7593
Half Precision Score
6051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 09 2025 12:18 AM |
| Views | 10 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8460
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17417
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14701
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7298
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7454
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13701
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9414
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23162
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35670
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29405
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6038
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6875
118.8 IPS |
