iPhone 16 Pro Max
Geekbench AI Score
4511
Single Precision Score
7612
Half Precision Score
6122
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:27 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3448
641.2 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9066
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14810
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6753
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7933
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13497
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9373
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21778
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35910
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29375
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6219
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6230
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7313
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7473
129.1 IPS |
