iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7536
Half Precision Score
6019
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:46 AM |
| Views | 4 |
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% |
3485
648.0 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8537
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14490
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
97% |
3598
286.4 IPS |
|
|
Object Detection (Q)
|
94% |
2567
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7683
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13396
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9148
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20549
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35673
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29164
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6030
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6033
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7159
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7136
123.3 IPS |
