iPhone 16 Pro Max
Geekbench AI Score
2398
Single Precision Score
4100
Half Precision Score
3049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | December 20 2025 09:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
96% |
1233
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1880
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4553
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
9621
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8356
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2060
164.0 IPS |
|
|
Object Detection (Q)
|
94% |
730
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2026
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4725
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7679
59.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5412
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11745
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20278
26.1 IPS |
|
|
Style Transfer (Q)
|
96% |
16752
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2813
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3268
4.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3277
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2950
51.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2904
50.2 IPS |
