iPhone 16 Pro Max
Geekbench AI Score
4592
Single Precision Score
7771
Half Precision Score
6180
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 01:14 AM |
| Views | 4 |
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% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9202
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18136
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7427
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4121
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8140
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14050
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9744
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20272
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37061
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30564
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5136
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7219
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7282
125.8 IPS |
