iPhone 16 Pro Max
Geekbench AI Score
4434
Single Precision Score
7515
Half Precision Score
6005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.9 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8513
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16648
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14074
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
97% |
3639
289.7 IPS |
|
|
Object Detection (Q)
|
94% |
2546
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7734
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13059
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9271
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20740
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35552
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28852
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7089
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6193
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7067
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7197
124.4 IPS |
