iPhone 16 Pro Max
Geekbench AI Score
4550
Single Precision Score
7735
Half Precision Score
6130
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gsalharbi |
| Upload Date | December 02 2025 04:08 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8838
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17196
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14750
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3768
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7427
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4103
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7888
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13905
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9689
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19569
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36630
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30319
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7056
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6109
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6038
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4246
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7237
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7174
124.0 IPS |
