Acer Predator PHN16-73
Geekbench AI Score
5857
Single Precision Score
2197
Half Precision Score
9823
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | October 05 2025 02:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4648
864.5 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
99% |
8404
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15102
245.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6771
7.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
40421
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (HP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
86% |
10193
819.2 IPS |
|
|
Face Detection (SP)
|
100% |
11907
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
2024
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
12405
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12336
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2915
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20080
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27728
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17808
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19537
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6652
246.3 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3450
69.3 IPS |
