iPhone 16 Pro Max
Geekbench AI Score
6065
Single Precision Score
7202
Half Precision Score
6849
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 04:12 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2988
555.6 IPS |
|
|
Image Classification (HP)
|
100% |
2660
494.7 IPS |
|
|
Image Classification (Q)
|
94% |
3141
587.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5027
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4833
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15054
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18462
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17697
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
3279
260.1 IPS |
|
|
Object Detection (HP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (Q)
|
90% |
3616
289.2 IPS |
|
|
Face Detection (SP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
11341
134.8 IPS |
|
|
Face Detection (Q)
|
100% |
8843
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12793
98.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15644
120.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14079
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31450
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39639
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38844
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7496
276.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8111
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6995
258.3 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1143
19.8 IPS |
