iPhone 16 Pro Max
Geekbench AI Score
3102
Single Precision Score
5307
Half Precision Score
4220
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1181
219.6 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2266
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4583
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
11398
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9099
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
97% |
2588
206.0 IPS |
|
|
Object Detection (Q)
|
94% |
1853
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5283
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
2808
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5329
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
9891
76.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6884
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12760
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25623
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21009
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3646
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4568
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4485
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4737
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
