Acer Predator PHN16-73
Geekbench AI Score
9174
Single Precision Score
10213
Half Precision Score
15870
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 29 2025 03:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PHN16-73 |
| Motherboard | ARL Macan_ARX |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5899
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
7326
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
9978
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8053
130.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3574
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13397
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34777
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75197
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5636
447.1 IPS |
|
|
Object Detection (HP)
|
100% |
6231
494.2 IPS |
|
|
Object Detection (Q)
|
88% |
10631
852.3 IPS |
|
|
Face Detection (SP)
|
100% |
16487
195.9 IPS |
|
|
Face Detection (HP)
|
100% |
17496
207.9 IPS |
|
|
Face Detection (Q)
|
100% |
34221
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14665
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18774
144.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34330
267.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37787
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54815
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96510
124.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7970
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16148
596.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31657
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4132
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4537
78.1 IPS |
