iPhone 16 Pro Max
Geekbench AI Score
4616
Single Precision Score
5352
Half Precision Score
4971
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 12:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
829
154.2 IPS |
|
|
Image Classification (HP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4101
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4837
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4648
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14948
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17659
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17207
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (Q)
|
92% |
1476
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
7630
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10583
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
7516
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13401
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15723
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13728
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31144
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39389
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39423
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3581
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5788
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1174
20.3 IPS |
