iPhone 16 Pro Max
Geekbench AI Score
4354
Single Precision Score
7578
Half Precision Score
5943
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 05:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17182
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14357
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7288
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13597
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9310
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23033
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36149
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29426
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6908
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6918
119.5 IPS |
