iPhone 16 Pro Max
Geekbench AI Score
4606
Single Precision Score
7728
Half Precision Score
6213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:17 PM |
| Views | 1 |
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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.7 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9250
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18108
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15350
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3705
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8125
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13772
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9654
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22363
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37454
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30778
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6214
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7399
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.2 IPS |
