iPhone 16 Pro Max
Geekbench AI Score
4354
Single Precision Score
7565
Half Precision Score
6012
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:26 AM |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7893
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16873
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14424
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4051
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7314
56.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13408
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9311
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22886
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35858
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29248
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
