iPhone 16 Pro Max
Geekbench AI Score
5744
Single Precision Score
6764
Half Precision Score
6028
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 07:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3001
558.1 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.6 IPS |
|
|
Image Classification (Q)
|
97% |
2876
536.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4406
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15655
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16300
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15542
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (Q)
|
91% |
2841
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
7849
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
10659
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7116
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13627
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14517
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12453
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32900
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39575
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35524
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7937
293.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6807
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
914
15.8 IPS |
