iPhone 16 Pro Max
Geekbench AI Score
6064
Single Precision Score
7149
Half Precision Score
6818
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2997
557.4 IPS |
|
|
Image Classification (HP)
|
100% |
2677
497.8 IPS |
|
|
Image Classification (Q)
|
96% |
3214
600.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4749
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18260
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17743
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (Q)
|
92% |
3207
256.0 IPS |
|
|
Face Detection (SP)
|
100% |
7666
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10900
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
8791
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13500
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16034
123.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14011
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31297
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39919
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39494
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7391
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8176
301.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6977
257.6 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6103
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1207
20.9 IPS |
