Alienware Alienware 16X Aurora AC16251
Geekbench AI Score
6107
Single Precision Score
2134
Half Precision Score
9911
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 04:43 PM |
| Views | 2 |
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 | Alienware Alienware 16X Aurora AC16251 |
| Motherboard | Alienware 0TKKNM |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4590
853.7 IPS |
|
|
Image Classification (HP)
|
100% |
766
142.4 IPS |
|
|
Image Classification (Q)
|
99% |
8464
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15193
247.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13156
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
40527
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
4226
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (Q)
|
86% |
9967
801.0 IPS |
|
|
Face Detection (SP)
|
100% |
13569
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
12143
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13241
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19284
153.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28937
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17486
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29751
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4523
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2705
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3400
68.3 IPS |
