iPhone 16 Pro Max
Geekbench AI Score
4562
Single Precision Score
7726
Half Precision Score
6176
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 05:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9069
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17926
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14837
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3847
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14201
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9798
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20018
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34129
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29769
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5066
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6053
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4155
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7307
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
