iPhone 16 Pro Max
Geekbench AI Score
4623
Single Precision Score
7752
Half Precision Score
6230
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 04:21 AM |
| Views | 2 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3458
643.2 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9231
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18024
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15001
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
4079
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8197
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13747
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9680
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22235
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37466
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30558
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7532
130.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7438
128.5 IPS |
