iPhone 16 Pro Max
Geekbench AI Score
4433
Single Precision Score
7621
Half Precision Score
6079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:50 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8425
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17426
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14858
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7416
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4166
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7489
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13811
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9603
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23198
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36493
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29550
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6668
246.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6946
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6902
119.3 IPS |
