iPhone 16 Pro Max
Geekbench AI Score
4450
Single Precision Score
7667
Half Precision Score
6118
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:43 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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8748
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17694
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7325
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4136
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7549
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13843
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9577
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23684
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37118
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30187
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6945
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6978
120.6 IPS |
