iPhone 16 Pro Max
Geekbench AI Score
4296
Single Precision Score
7460
Half Precision Score
5931
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 02:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8238
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16724
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14259
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2571
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
7070
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
3920
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7042
54.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13065
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9057
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22004
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35319
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28474
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4710
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5951
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6893
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6842
118.2 IPS |
