iPhone 16 Pro Max
Geekbench AI Score
4220
Single Precision Score
7285
Half Precision Score
5887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 07:19 PM |
| Views | 1 |
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% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
3430
637.9 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7851
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15631
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13549
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (HP)
|
97% |
3588
285.6 IPS |
|
|
Object Detection (Q)
|
94% |
2492
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
6145
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3726
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7526
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13078
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9131
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20199
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33873
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28918
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6094
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6858
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
