iPhone 16 Pro Max
Geekbench AI Score
4260
Single Precision Score
7414
Half Precision Score
5892
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:31 AM |
| Views | 1 |
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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7801
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15980
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13949
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
97% |
3531
281.1 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
7207
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
3892
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6974
53.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13334
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9069
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21828
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34724
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28683
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6676
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4652
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6920
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
