iPhone 16 Pro Max
Geekbench AI Score
4689
Single Precision Score
7910
Half Precision Score
6298
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 09:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9867
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19438
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16334
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7604
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4262
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14525
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10121
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21959
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38200
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31393
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5464
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7349
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7044
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
121.0 IPS |
