iPhone 16 Pro Max
Geekbench AI Score
4468
Single Precision Score
7597
Half Precision Score
6091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:37 AM |
| Views | 2 |
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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8995
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17768
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15126
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8006
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13706
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9495
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21314
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36696
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30095
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6764
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
