iPhone 16 Pro Max
Geekbench AI Score
4143
Single Precision Score
7114
Half Precision Score
5616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2891
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7297
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
15192
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13039
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3403
270.9 IPS |
|
|
Object Detection (Q)
|
94% |
2395
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6365
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12394
95.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8198
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17650
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32176
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26388
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6734
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4676
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6450
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6727
116.3 IPS |
