iPhone 16 Pro Max
Geekbench AI Score
5937
Single Precision Score
6987
Half Precision Score
6610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:40 AM |
| Views | 7 |
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% |
2932
545.2 IPS |
|
|
Image Classification (HP)
|
100% |
2603
484.1 IPS |
|
|
Image Classification (Q)
|
96% |
3100
578.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4870
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4680
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14923
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17498
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16828
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3269
259.3 IPS |
|
|
Object Detection (HP)
|
100% |
3683
292.1 IPS |
|
|
Object Detection (Q)
|
92% |
3151
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
7062
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
10282
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
7907
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12727
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14833
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13720
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30708
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38333
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37609
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7430
274.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6875
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1218
21.0 IPS |
