iPhone 16 Pro Max
Geekbench AI Score
4557
Single Precision Score
7658
Half Precision Score
6132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:11 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.2 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9096
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17941
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15088
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3671
292.3 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7926
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13701
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9463
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21369
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36951
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29721
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7197
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7162
123.8 IPS |
