iPhone 16 Pro Max
Geekbench AI Score
4523
Single Precision Score
7673
Half Precision Score
6116
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:44 PM |
| Views | 10 |
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% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17888
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15073
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3701
294.7 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
4030
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13750
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9546
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36438
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30004
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7526
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7371
127.4 IPS |
