iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
7831
Half Precision Score
6196
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9340
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18523
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2569
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14330
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20560
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37565
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30630
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5185
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7233
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
125.0 IPS |
