iPhone 16 Pro Max
Geekbench AI Score
4504
Single Precision Score
7750
Half Precision Score
6199
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.8 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9421
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18600
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15845
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7097
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13455
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9473
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19179
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36273
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29697
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7124
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3977
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7442
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7458
128.9 IPS |
