iPhone 16 Pro Max
Geekbench AI Score
4430
Single Precision Score
7518
Half Precision Score
5996
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:05 PM |
| Views | 1 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3431
638.0 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3248
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8583
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16856
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14091
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.5 IPS |
|
|
Object Detection (Q)
|
94% |
2534
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6758
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7711
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13193
102.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9208
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20831
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34993
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28330
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6193
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7094
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7136
123.3 IPS |
