Acer Predator PHN16S-71
Geekbench AI Score
6043
Single Precision Score
2241
Half Precision Score
10508
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 01:55 PM |
| Views | 6 |
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 PHN16S-71 |
| Motherboard | ARL FTYPE_ARX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5230
972.6 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.4 IPS |
|
|
Image Classification (Q)
|
99% |
9335
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15645
254.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13348
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
42641
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
4811
381.6 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
10620
853.5 IPS |
|
|
Face Detection (SP)
|
100% |
13200
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
12627
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13474
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3101
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23158
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28851
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15961
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23079
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6879
254.7 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3557
71.5 IPS |
