Acer Predator PH18-73
Geekbench AI Score
27937
Single Precision Score
46899
Half Precision Score
21631
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | August 17 2025 10:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Predator PH18-73 |
| Motherboard | ARL Vantage_ARX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11316
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
17854
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10026
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20638
334.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
29734
482.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18492
300.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
158194
184.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
435223
507.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
142877
167.4 IPS |
|
|
Object Detection (SP)
|
100% |
13757
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
22723
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
11796
947.7 IPS |
|
|
Face Detection (SP)
|
100% |
40269
478.5 IPS |
|
|
Face Detection (HP)
|
100% |
56918
676.3 IPS |
|
|
Face Detection (Q)
|
97% |
34503
411.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69476
535.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120820
930.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
52951
423.0 IPS |
|
|
Style Transfer (SP)
|
100% |
252188
324.2 IPS |
|
|
Style Transfer (HP)
|
100% |
831790
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
216837
279.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40209
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69447
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31243
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5932
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5987
103.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2730
51.2 IPS |
