Acer Predator PHN16S-71
Geekbench AI Score
4650
Single Precision Score
1826
Half Precision Score
7887
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:56 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2860
531.9 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
99% |
6169
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11064
179.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10497
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
29434
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2886
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
6839
549.7 IPS |
|
|
Face Detection (SP)
|
100% |
10506
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
9682
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9357
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2270
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14399
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22989
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13132
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25233
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4652
172.3 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3079
61.9 IPS |
