iPhone 16 Pro Max
Geekbench AI Score
5805
Single Precision Score
6665
Half Precision Score
6127
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 09:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2787
518.3 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (Q)
|
97% |
2729
509.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3351
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4421
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15823
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15731
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
91% |
2891
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
8074
95.9 IPS |
|
|
Face Detection (HP)
|
100% |
11132
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
7762
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14100
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15370
118.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12359
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32872
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38499
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36920
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8274
305.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6873
253.8 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
