iPhone 16 Pro Max
Geekbench AI Score
5973
Single Precision Score
7148
Half Precision Score
6638
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2965
551.4 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.6 IPS |
|
|
Image Classification (Q)
|
96% |
3138
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4262
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14954
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18059
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17166
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3084
244.6 IPS |
|
|
Object Detection (HP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (Q)
|
92% |
3147
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
10412
123.7 IPS |
|
|
Face Detection (Q)
|
100% |
8049
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12858
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15044
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13886
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31040
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38929
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37699
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7370
272.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8191
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6842
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1189
20.6 IPS |
