iPhone 16 Pro Max
Geekbench AI Score
5751
Single Precision Score
6672
Half Precision Score
6154
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3023
562.2 IPS |
|
|
Image Classification (HP)
|
100% |
2472
459.7 IPS |
|
|
Image Classification (Q)
|
97% |
2809
524.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3289
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4457
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16488
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15432
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.8 IPS |
|
|
Object Detection (Q)
|
91% |
2855
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
7912
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
10731
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
7210
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13405
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14493
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12069
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33121
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39468
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36278
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8447
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6839
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1121
19.4 IPS |
