Alienware Alienware Aurora R9
Geekbench AI Score
13382
Single Precision Score
20742
Half Precision Score
9577
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R9 |
| Motherboard | Alienware 0T76PD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5719
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8605
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
3976
741.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7397
119.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9381
152.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6411
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82092
95.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
206409
240.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
68029
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
6788
538.5 IPS |
|
|
Object Detection (HP)
|
100% |
10009
793.9 IPS |
|
|
Object Detection (Q)
|
84% |
5210
420.2 IPS |
|
|
Face Detection (SP)
|
100% |
15467
183.8 IPS |
|
|
Face Detection (HP)
|
100% |
21242
252.4 IPS |
|
|
Face Detection (Q)
|
97% |
12564
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37498
288.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63015
485.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
25836
206.5 IPS |
|
|
Style Transfer (SP)
|
100% |
138595
178.2 IPS |
|
|
Style Transfer (HP)
|
100% |
305616
392.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113650
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24637
909.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34242
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14920
552.5 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2886
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1117
21.0 IPS |
