iPhone 16 Pro Max
Geekbench AI Score
4439
Single Precision Score
7544
Half Precision Score
6022
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 28 2025 11:30 PM |
| Views | 5 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.8 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8693
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14591
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3687
293.5 IPS |
|
|
Object Detection (Q)
|
94% |
2602
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3880
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7809
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13388
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9325
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20572
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35635
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28245
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4912
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7188
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
