iPhone 16 Pro Max
Geekbench AI Score
5733
Single Precision Score
6806
Half Precision Score
6034
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 01:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2821
524.7 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.3 IPS |
|
|
Image Classification (Q)
|
97% |
2876
536.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4417
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15770
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16581
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15636
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (HP)
|
100% |
3465
274.9 IPS |
|
|
Object Detection (Q)
|
91% |
2847
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10714
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7119
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13387
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14907
114.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12266
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33114
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39545
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36585
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8137
300.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8568
316.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6793
250.8 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
887
15.3 IPS |
