iPhone 16 Pro Max
Geekbench AI Score
4581
Single Precision Score
7780
Half Precision Score
6226
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.7 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18522
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15885
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7521
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7912
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14322
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24513
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37436
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31004
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5844
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7012
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
