iPhone 16 Pro Max
Geekbench AI Score
4413
Single Precision Score
7571
Half Precision Score
6079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | February 16 2025 03:02 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17150
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14771
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7419
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13901
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9648
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23191
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36257
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30038
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6690
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
