iPhone 16 Pro Max
Geekbench AI Score
4541
Single Precision Score
7774
Half Precision Score
6205
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 06:09 AM |
| Views | 2 |
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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2293
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9089
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18383
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15577
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4255
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7817
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14256
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9981
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24040
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37583
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30758
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6842
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7090
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
