iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7605
Half Precision Score
6036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sellen |
| Upload Date | March 06 2025 04:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.5 IPS |
|
|
Image Classification (Q)
|
96% |
2270
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8429
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17320
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14738
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2594
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7337
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7498
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13811
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9400
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23308
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36226
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29989
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4874
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6886
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6657
115.0 IPS |
