iPhone 16 Pro Max
Geekbench AI Score
4550
Single Precision Score
7742
Half Precision Score
6188
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 06:03 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% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.5 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9170
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18288
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14679
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2632
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6886
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4030
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8031
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13723
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9597
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20977
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37905
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30626
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7389
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7387
127.7 IPS |
