iPhone 16 Pro Max
Geekbench AI Score
4505
Single Precision Score
7612
Half Precision Score
6047
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:17 AM |
| Views | 10 |
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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
3466
644.5 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8929
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17227
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14357
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3679
292.9 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6843
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7860
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13322
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9363
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20997
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35924
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28869
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7243
125.2 IPS |
