iPhone 16 Pro Max
Geekbench AI Score
4516
Single Precision Score
7699
Half Precision Score
6113
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3310
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8805
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17462
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14889
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7972
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9463
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19430
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36594
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29942
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5163
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7291
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7317
126.4 IPS |
