iPhone 16 Pro Max
Geekbench AI Score
4598
Single Precision Score
7714
Half Precision Score
6192
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:51 PM |
| Views | 10 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.8 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3300
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9330
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18403
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15443
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4076
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13731
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9653
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22366
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38220
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30953
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7153
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7208
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7166
123.8 IPS |
