iPhone 16 Pro Max
Geekbench AI Score
4448
Single Precision Score
7498
Half Precision Score
6002
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8714
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16934
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14539
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3587
285.6 IPS |
|
|
Object Detection (Q)
|
94% |
2573
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3811
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7590
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13040
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9082
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20922
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35618
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28593
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6269
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7107
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
