iPhone 16 Pro Max
Geekbench AI Score
4478
Single Precision Score
7690
Half Precision Score
6176
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 17 2025 06:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8709
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17879
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15165
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7396
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4210
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7632
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13949
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9758
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23755
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37443
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30540
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4954
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6999
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6979
120.6 IPS |
