iPhone 16 Pro Max
Geekbench AI Score
4270
Single Precision Score
7404
Half Precision Score
5834
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:37 PM |
| Views | 6 |
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% |
1815
337.6 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.2 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7944
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15831
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13670
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
97% |
3632
289.2 IPS |
|
|
Object Detection (Q)
|
94% |
2488
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3713
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12822
99.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8833
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19635
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34240
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27126
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7047
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4771
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7073
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.3 IPS |
