iPhone 16 Pro Max
Geekbench AI Score
4474
Single Precision Score
7690
Half Precision Score
6128
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Diesel225 |
| Upload Date | February 02 2025 09:36 PM |
| Views | 11 |
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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8745
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17650
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15119
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4126
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14061
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9535
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23105
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36912
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30290
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4958
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5793
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7023
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
