iPhone 16 Pro Max
Geekbench AI Score
5858
Single Precision Score
7032
Half Precision Score
6599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2977
553.6 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.8 IPS |
|
|
Image Classification (Q)
|
96% |
3112
581.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4880
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4705
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18017
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17119
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
3257
258.4 IPS |
|
|
Object Detection (Q)
|
92% |
3063
244.5 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10277
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
7862
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12622
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14986
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13777
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30619
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38706
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37392
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8002
295.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6867
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6091
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1210
20.9 IPS |
