iPhone 16 Pro Max
Geekbench AI Score
5719
Single Precision Score
6887
Half Precision Score
6053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | riussi |
| Upload Date | January 28 2025 04:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2997
557.4 IPS |
|
|
Image Classification (HP)
|
100% |
2857
531.3 IPS |
|
|
Image Classification (Q)
|
97% |
2912
543.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4462
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4425
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15788
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16418
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15632
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3734
296.2 IPS |
|
|
Object Detection (Q)
|
91% |
2809
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
7646
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10810
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7198
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13443
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14573
112.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12702
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33147
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39699
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35889
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8487
313.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6979
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
