iPhone 17 Pro Max
Geekbench AI Score
5116
Single Precision Score
8359
Half Precision Score
6561
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3770
701.2 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18572
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15610
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
4100
326.4 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4475
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8316
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4249
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13919
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9886
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24395
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38270
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6642
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6529
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9432
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9361
161.8 IPS |
