Acer Predator PHN16-73
Geekbench AI Score
7586
Single Precision Score
7944
Half Precision Score
14532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | October 05 2025 02:09 AM |
| Views | 2 |
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 PHN16-73 |
| Motherboard | ARL Macan_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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5169
961.2 IPS |
|
|
Image Classification (HP)
|
100% |
5681
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
9863
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7102
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4163
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12030
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11845
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
28123
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
4436
351.9 IPS |
|
|
Object Detection (HP)
|
100% |
5861
464.9 IPS |
|
|
Object Detection (Q)
|
88% |
10190
816.8 IPS |
|
|
Face Detection (SP)
|
100% |
12520
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
16189
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
26934
320.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11855
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13427
103.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26991
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26239
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23423
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
79663
102.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6756
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15570
576.6 IPS |
|
|
Text Classification (SP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5919
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5875
101.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2667
45.9 IPS |
