Acer Predator PTN16-51
Geekbench AI Score
3725
Single Precision Score
1465
Half Precision Score
6606
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PTN16-51 |
| Motherboard | MTL Leaf_MTH |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
5946
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3295
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
22711
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
86% |
6185
497.1 IPS |
|
|
Face Detection (SP)
|
100% |
7515
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8808
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13980
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14604
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10297
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20099
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
713
952.0 IPS |
|
|
Text Classification (Q)
|
97% |
1722
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3057
61.4 IPS |
