Alienware Alienware Area-51 AAT2250
Geekbench AI Score
44896
Single Precision Score
66793
Half Precision Score
32885
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 03:26 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Area-51 AAT2250 |
| Motherboard | Alienware 02JGX1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16248
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
20673
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
13646
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33679
546.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
42015
681.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
30600
497.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
378517
441.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
899023
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
300419
351.9 IPS |
|
|
Object Detection (SP)
|
100% |
22042
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
28578
2.27 KIPS |
|
|
Object Detection (Q)
|
85% |
18301
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
66715
792.7 IPS |
|
|
Face Detection (HP)
|
100% |
87951
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
52274
623.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
100650
775.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
184221
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73002
584.7 IPS |
|
|
Style Transfer (SP)
|
100% |
587475
755.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1626009
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
492642
635.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69874
2.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91314
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49906
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4079
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2351
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6482
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2921
54.8 IPS |
