iPhone 16 Pro Max
Geekbench AI Score
4422
Single Precision Score
7628
Half Precision Score
6094
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8332
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17421
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14892
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7401
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7581
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13889
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9667
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23308
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36737
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30141
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6774
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6919
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6948
120.1 IPS |
