iPhone 16 Pro Max
Geekbench AI Score
4455
Single Precision Score
7634
Half Precision Score
6116
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | December 12 2024 04:22 AM |
| Views | 4 |
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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.6 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8723
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17711
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15020
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7246
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7564
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13806
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9549
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23322
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36583
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30132
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4903
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6912
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
