iPhone 16 Pro Max
Geekbench AI Score
4496
Single Precision Score
7707
Half Precision Score
6110
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:18 PM |
| Views | 3 |
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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.1 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8715
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17533
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14831
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3738
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4046
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7917
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13858
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9485
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19595
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37019
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29931
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5854
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7217
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
