Acer Predator PHN16S-71
Geekbench AI Score
18245
Single Precision Score
35155
Half Precision Score
14375
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mattskr |
| Upload Date | August 04 2025 07:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN16S-71 |
| Motherboard | ARL FTYPE_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% |
7256
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14350
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
6822
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13741
222.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22436
363.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12727
207.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
84560
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
267104
311.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
76421
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
9370
743.3 IPS |
|
|
Object Detection (HP)
|
100% |
17509
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
8413
675.2 IPS |
|
|
Face Detection (SP)
|
100% |
24726
293.8 IPS |
|
|
Face Detection (HP)
|
100% |
41459
492.6 IPS |
|
|
Face Detection (Q)
|
97% |
21845
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43157
332.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94900
731.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35918
287.2 IPS |
|
|
Style Transfer (SP)
|
100% |
132826
170.8 IPS |
|
|
Style Transfer (HP)
|
100% |
456152
586.4 IPS |
|
|
Style Transfer (Q)
|
98% |
113171
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23911
882.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49656
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19631
726.9 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5371
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1939
36.4 IPS |
