iPhone 16 Pro Max
Geekbench AI Score
4406
Single Precision Score
7510
Half Precision Score
6049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | June 11 2025 06:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
3462
643.8 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8610
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16974
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14751
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3591
285.9 IPS |
|
|
Object Detection (Q)
|
94% |
2568
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6875
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7674
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13203
102.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9215
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21326
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36395
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29616
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5778
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7094
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7304
126.2 IPS |
