iPhone 16 Pro Max
Geekbench AI Score
4495
Single Precision Score
7721
Half Precision Score
6162
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 23 2025 03:48 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.5 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8795
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18041
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15157
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7466
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7643
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13992
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9676
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23777
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37622
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30845
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5553
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7004
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
