Acer Predator PHN16S-71
Geekbench AI Score
4162
Single Precision Score
5933
Half Precision Score
2903
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2443
454.3 IPS |
|
|
Image Classification (HP)
|
100% |
3578
665.5 IPS |
|
|
Image Classification (Q)
|
99% |
1850
345.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5133
83.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8498
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16253
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
7462
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
4078
323.4 IPS |
|
|
Object Detection (Q)
|
86% |
1932
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
5442
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
8700
103.4 IPS |
|
|
Face Detection (Q)
|
97% |
3577
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14537
112.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6186
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26464
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20150
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3181
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
575
768.1 IPS |
|
|
Text Classification (Q)
|
97% |
616
825.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2079
36.0 IPS |
|
|
Machine Translation (Q)
|
70% |
871
16.3 IPS |
