iPhone 16 Pro Max
Geekbench AI Score
4012
Single Precision Score
7060
Half Precision Score
5537
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 12:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2139
399.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2822
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6412
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
12328
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10582
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
97% |
3674
292.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
7086
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
3976
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7040
54.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13303
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8427
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20471
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35274
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28043
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4718
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4573
168.9 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6430
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6207
107.3 IPS |
