iPhone 16 Pro Max
Geekbench AI Score
5893
Single Precision Score
7062
Half Precision Score
6673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2977
553.5 IPS |
|
|
Image Classification (HP)
|
100% |
2832
526.6 IPS |
|
|
Image Classification (Q)
|
96% |
3164
590.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18099
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17259
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (Q)
|
92% |
3184
254.2 IPS |
|
|
Face Detection (SP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10339
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
7983
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12771
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14963
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13869
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30933
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39104
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37986
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8171
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6976
257.6 IPS |
|
|
Text Classification (SP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1228
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
