iPhone 16 Pro Max
Geekbench AI Score
4419
Single Precision Score
7507
Half Precision Score
5974
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3220
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8643
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16943
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14491
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3638
289.6 IPS |
|
|
Object Detection (Q)
|
94% |
2550
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7815
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13214
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9234
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21037
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35973
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28556
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6158
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7046
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7039
121.6 IPS |
