iPhone 16 Pro Max
Geekbench AI Score
4510
Single Precision Score
7646
Half Precision Score
6124
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9173
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18083
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15216
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.6 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.4 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4023
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7993
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13701
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9616
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21780
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37100
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29272
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5389
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5123
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6965
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6833
118.1 IPS |
