iPhone 16 Pro Max
Geekbench AI Score
4617
Single Precision Score
7761
Half Precision Score
6255
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 07:39 AM |
| Views | 3 |
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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3486
648.3 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9488
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18517
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15692
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13834
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9721
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22818
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37660
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30945
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7366
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7419
128.2 IPS |
