iPhone 16 Pro Max
Geekbench AI Score
4558
Single Precision Score
7619
Half Precision Score
6152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:13 AM |
| 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9119
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17602
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15185
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
97% |
3691
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6818
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7965
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13682
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9543
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36447
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29665
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5130
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7173
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7292
126.0 IPS |
