iPhone 16 Pro Max
Geekbench AI Score
4470
Single Precision Score
7669
Half Precision Score
6135
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kontaz77 |
| Upload Date | December 25 2024 02:59 PM |
| Views | 8 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17770
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15229
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7409
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4166
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7590
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14079
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9710
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23703
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36429
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30395
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5818
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6970
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6997
120.9 IPS |
