iPhone 16 Pro Max
Geekbench AI Score
6166
Single Precision Score
7027
Half Precision Score
6697
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3023
562.2 IPS |
|
|
Image Classification (HP)
|
100% |
2748
511.1 IPS |
|
|
Image Classification (Q)
|
96% |
3146
587.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15726
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16436
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16015
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (Q)
|
92% |
3182
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10756
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
8434
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13594
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14621
112.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13494
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33121
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38009
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37896
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8111
299.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8477
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7582
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1215
21.0 IPS |
