iPhone 16 Pro Max
Geekbench AI Score
4535
Single Precision Score
7777
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:11 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18300
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15387
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7505
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4186
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14118
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9796
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23911
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37535
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30693
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7033
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7060
122.0 IPS |
