iPhone 16 Pro Max
Geekbench AI Score
4349
Single Precision Score
7480
Half Precision Score
5957
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 09 2025 04:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3185
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8289
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16705
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14192
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3594
286.1 IPS |
|
|
Object Detection (Q)
|
94% |
2545
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6722
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3799
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13165
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9087
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19791
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34939
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28718
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7066
122.1 IPS |
