iPhone 16 Pro Max
Geekbench AI Score
4470
Single Precision Score
7614
Half Precision Score
6082
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ands84 |
| Upload Date | August 22 2025 01:39 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% |
2001
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.1 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17857
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14666
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3685
293.4 IPS |
|
|
Object Detection (Q)
|
94% |
2591
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7888
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13434
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9388
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20648
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36868
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29993
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7114
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7154
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7089
122.5 IPS |
