iPhone 16 Pro Max
Geekbench AI Score
4430
Single Precision Score
7543
Half Precision Score
6048
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 07:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
3455
642.5 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17152
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14631
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3639
289.7 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3874
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7870
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13404
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9321
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20270
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35181
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28900
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7113
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6207
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7144
123.5 IPS |
