iPhone 16 Pro Max
Geekbench AI Score
4311
Single Precision Score
7328
Half Precision Score
5863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 10:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.5 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3157
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8512
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16710
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13963
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
97% |
3597
286.4 IPS |
|
|
Object Detection (Q)
|
94% |
2531
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3700
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7353
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12909
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8922
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19779
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32100
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27020
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4769
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6350
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6723
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
