Acer Predator PH18-73
Geekbench AI Score
8993
Single Precision Score
9609
Half Precision Score
14859
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | August 17 2025 10:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5246
975.6 IPS |
|
|
Image Classification (HP)
|
100% |
6891
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9551
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8044
130.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3928
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13567
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34435
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74212
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
5567
441.6 IPS |
|
|
Object Detection (HP)
|
100% |
5894
467.5 IPS |
|
|
Object Detection (Q)
|
87% |
9817
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
15059
178.9 IPS |
|
|
Face Detection (HP)
|
100% |
16098
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
30833
366.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14134
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17031
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31799
247.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39718
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48342
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90239
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8257
304.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13910
513.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23238
860.6 IPS |
|
|
Text Classification (SP)
|
100% |
4177
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2072
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4427
76.3 IPS |
