iPhone 16 Pro Max
Geekbench AI Score
5808
Single Precision Score
6900
Half Precision Score
6548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 18 2025 05:06 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2942
547.1 IPS |
|
|
Image Classification (HP)
|
100% |
2659
494.6 IPS |
|
|
Image Classification (Q)
|
96% |
3103
579.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4164
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4850
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4677
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14746
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16828
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (Q)
|
92% |
3116
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
6908
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
10035
119.2 IPS |
|
|
Face Detection (Q)
|
100% |
7821
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12494
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14769
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13674
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30346
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38444
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36877
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7129
263.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8001
295.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6844
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1130
19.5 IPS |
