iPhone 16 Pro Max
Geekbench AI Score
4463
Single Precision Score
7661
Half Precision Score
6115
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Attai7 |
| Upload Date | January 05 2025 05:33 PM |
| Views | 5 |
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% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8762
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17978
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15216
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.0 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2588
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4154
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7549
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13642
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23435
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36828
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30300
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6905
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7013
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.8 IPS |
