iPhone 16 Pro Max
Geekbench AI Score
4569
Single Precision Score
7831
Half Precision Score
6193
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.6 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9013
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17836
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15191
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7360
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4131
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14295
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9737
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20037
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37625
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30240
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6061
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7325
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7337
126.8 IPS |
