iPhone 16 Pro Max
Geekbench AI Score
4484
Single Precision Score
7643
Half Precision Score
6123
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8763
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17420
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14757
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3581
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6877
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13601
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9416
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21336
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36847
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29672
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5079
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7264
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7287
125.9 IPS |
