iPhone 16 Pro Max
Geekbench AI Score
5916
Single Precision Score
6825
Half Precision Score
6800
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Nxb |
| Upload Date | August 28 2025 12:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3072
571.3 IPS |
|
|
Image Classification (HP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (Q)
|
96% |
3169
591.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4947
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4770
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15552
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16907
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
92% |
2852
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
9430
112.0 IPS |
|
|
Face Detection (Q)
|
100% |
6858
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11276
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12991
100.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12400
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32619
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38328
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38715
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7969
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8245
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7545
278.6 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
