iPhone 16 Pro Max
Geekbench AI Score
5833
Single Precision Score
7072
Half Precision Score
6580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2844
528.9 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
96% |
3130
584.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4683
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14616
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17754
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16703
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
92% |
3120
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
10175
120.9 IPS |
|
|
Face Detection (Q)
|
100% |
7943
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12606
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15301
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13537
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30375
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38872
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38363
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7279
268.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8128
300.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6854
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6082
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1160
20.1 IPS |
