iPhone 16 Pro Max
Geekbench AI Score
4598
Single Precision Score
7762
Half Precision Score
6219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | xiayang |
| Upload Date | June 22 2025 04:36 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2067
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9403
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18619
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15756
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7485
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4217
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8197
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14309
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9899
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20491
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37764
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30802
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7322
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5998
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5881
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4020
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6643
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7069
122.2 IPS |
