iPhone 16 Pro Max
Geekbench AI Score
4272
Single Precision Score
7422
Half Precision Score
5880
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | December 10 2024 08:07 PM |
| Views | 3 |
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% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.1 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3197
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
16192
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13891
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
97% |
3672
292.3 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
7173
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
3924
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13121
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9101
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22060
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34996
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28624
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4721
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6893
119.1 IPS |
