iPhone 16 Pro Max
Geekbench AI Score
4423
Single Precision Score
7540
Half Precision Score
6051
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 08:59 AM |
| Views | 4 |
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% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.2 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8846
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17369
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14739
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7870
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13444
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9134
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36441
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29461
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6059
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6021
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6821
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7193
124.3 IPS |
