iPhone 16 Pro Max
Geekbench AI Score
4657
Single Precision Score
33215
Half Precision Score
44552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 05:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
14289
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18419
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18062
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23653
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9422
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151694
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
290752
340.8 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
15548
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21238
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
39707
471.8 IPS |
|
|
Face Detection (Q)
|
100% |
53260
632.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94340
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
150913
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23061
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244482
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293205
378.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51400
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78327
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9096
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10136
175.2 IPS |
