iPhone 16 Pro Max
Geekbench AI Score
5683
Single Precision Score
6768
Half Precision Score
6011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3054
568.0 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (Q)
|
97% |
2819
526.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4401
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15758
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16506
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15629
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3029
240.2 IPS |
|
|
Object Detection (HP)
|
100% |
3586
284.5 IPS |
|
|
Object Detection (Q)
|
91% |
2753
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
10644
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
7129
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13178
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14758
113.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12570
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32766
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39517
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36263
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8452
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6722
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |
