iPhone 16 Pro Max
Geekbench AI Score
3607
Single Precision Score
6218
Half Precision Score
4993
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 14 2025 03:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
2707
503.4 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8032
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15561
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13260
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
97% |
3046
242.5 IPS |
|
|
Object Detection (Q)
|
94% |
2123
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3337
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
11188
86.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
7811
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19073
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30751
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25186
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4773
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4095
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5330
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4803
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5027
86.9 IPS |
