Acer Predator PH18-73
Geekbench AI Score
8212
Single Precision Score
9092
Half Precision Score
15180
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | August 17 2025 10:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
4769
886.9 IPS |
|
|
Image Classification (HP)
|
100% |
5799
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
10223
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7833
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4450
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12271
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13514
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13539
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
26446
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
4879
387.0 IPS |
|
|
Object Detection (HP)
|
100% |
7012
556.2 IPS |
|
|
Object Detection (Q)
|
88% |
11330
908.3 IPS |
|
|
Face Detection (SP)
|
100% |
14755
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
19100
226.9 IPS |
|
|
Face Detection (Q)
|
100% |
29174
346.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12441
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15270
117.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29687
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35674
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34882
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77796
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7590
280.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7486
276.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14580
540.0 IPS |
|
|
Text Classification (SP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5656
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6709
115.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3112
53.6 IPS |
