iPhone 16 Pro Max
Geekbench AI Score
4448
Single Precision Score
7656
Half Precision Score
6126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8587
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17862
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15075
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7262
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7511
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13820
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9658
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23527
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36775
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29953
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6998
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
