iPhone 16 Pro Max
Geekbench AI Score
5810
Single Precision Score
6993
Half Precision Score
6580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2951
548.7 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (Q)
|
96% |
3128
584.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4909
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4717
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14932
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17745
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17185
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
3662
290.5 IPS |
|
|
Object Detection (Q)
|
92% |
3174
253.3 IPS |
|
|
Face Detection (SP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10369
123.2 IPS |
|
|
Face Detection (Q)
|
100% |
7883
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12990
100.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15485
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13834
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30799
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39072
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38389
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7383
272.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8073
298.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6948
256.6 IPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1225
21.2 IPS |
